Packages & Setup

# install.packages(c("tidyverse","purrr","R.matlab","readxl","dplyr"))
library(readxl);
library(purrr)
library(tidyverse);
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ ggplot2   3.5.0     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(tibble);
library(knitr);
library(gtsummary);
library(kableExtra);
## 
## Attaching package: 'kableExtra'
## 
## The following object is masked from 'package:dplyr':
## 
##     group_rows
library(lme4);
## Loading required package: Matrix
## 
## Attaching package: 'Matrix'
## 
## The following objects are masked from 'package:tidyr':
## 
##     expand, pack, unpack
library(MuMIn);

GTSUMMARY THEME

# my_theme <-
#   list(
#     "tbl_summary-str:default_con_type" = "continuous2",
#     "tbl_summary-str:continuous_stat" = c(
#       "{median} ({p25} - {p75})",
#       "{mean} ({sd})",
#       "{min} - {max}"
#     ),
#     "tbl_summary-str:categorical_stat" = "{n} / {N} ({p}%)",
#     "style_number-arg:big.mark" = "",
#     "tbl_summary-fn:percent_fun" = function(x) style_percent(x, digits = 3)
#   )
# my_theme <-
#   list()
# gtsummary::set_gtsummary_theme(my_theme)
gtsummary::set_gtsummary_theme(theme_gtsummary_journal("jama"))
## Setting theme `JAMA`
## Setting theme `JAMA`
# reset_gtsummary_theme()

load table

# excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04162024_MIM_YAOAN89_antsnormalize_iccREMG0p4_powpow0p3_skull0p01/cluster/icrej_5/12/spec_data/group_spec/psd_calcs/fooof_kinematics_table.xlsx";
excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04232024_MIM_YAOAN89_antsnorm_dipfix_iccREMG0p4_powpow0p3_skull0p01_15mmrej/cluster/icrej_5/11/spec_data/group_spec/psd_calcs/fooof_kinematics_table_nans.xlsx";
eegt <- read_excel(excel_dir,sheet="Sheet1") 

get unique entries

#%% KIN PARAMS
kin_measures = c('mean_APexc_COV','mean_APexc_mean','mean_MLexc_COV','mean_MLexc_mean','mean_StepDur','mean_StepDur_cov','mean_UDexc_COV','mean_UDexc_mean','mean_StanceDur','mean_GaitCycleDur','mean_PeakUpDownVel_mean');
kin_title_chars = c("AP Exc. COV","AP Exc. Mean","ML Exc. COV","ML Exc. Mean","Step Dur.","Step Dur. COV","UD Exc. COV","UD Exc Mean","Stance Dur.","Gait Cycle Dur.","Peak UD Vel. Mean")
# kin_inds_plot = c(1:length(kin_measures));
kin_inds_plot = c(1,3,6,5,7);
#%% EEG PARAMS
clusters = unique(eegt$cluster_id);
subjects = unique(eegt$subj_char);
groups = unique(eegt$group_char);
# eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','beta_div_theta','theta_div_beta','log_beta_div_theta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
# eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**BETA/THETA**","**THETA/BETA**","**log10(BETA/THETA)**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','theta_div_beta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**THETA/BETA**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
# eeg_inds_plot = c(1:length(eeg_title_chars));
eeg_inds_plot = c(1,2,3,4);
cluster_inds_plot = c(10,5,2,6,9);

get speeds only

eegt <- filter_at(eegt,vars('cond_char'), any_vars(. %in% c('0.25','0.5','0.75','1.0')))
flat_speeds = unique(eegt$cond_char)
eegt$cond_char <- as.numeric(eegt$cond_char)
eegt$speed_cond_num <- as.numeric(eegt$cond_char)
eegt <- mutate(eegt,across(c('subj_char'), factor))
eegt <- mutate(eegt,across(c('group_char'), factor))
eegt$speed_ord <- cut(eegt$cond_char, 4, ordered = TRUE)
eegt <- mutate(eegt,across(c('cond_char'), factor))
eegt$group_speed_code = paste(eegt$group_char,eegt$cond_char,sep="_")
head(eegt)

create ratios

Log <- function(x, base = exp(1)) {
  LOG <- base::log(as.complex(x), base = base)
  if (all(Im(LOG) == 0)) { LOG <- Re(LOG) }
  LOG }
#%% CALCS
eegt <- eegt%>%
  mutate(beta_div_theta=beta_avg_power/theta_avg_power)
eegt <- eegt%>%
  mutate(theta_div_beta=theta_avg_power/beta_avg_power)
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+max(abs(beta_avg_power/theta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+max(abs(theta_avg_power/beta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+mean(abs(beta_avg_power/theta_avg_power))/(mean(abs(beta_avg_power/theta_avg_power))+3*sd(abs(beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+mean(abs(theta_avg_power/beta_avg_power))/(mean(abs(theta_avg_power/beta_avg_power))+3*sd(abs(theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10((beta_avg_power/theta_avg_power)+abs(min((beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10((theta_avg_power/beta_avg_power)+abs(min((theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
eegt <- eegt%>%
  mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)));
eegt <- eegt%>%
  mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)));

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group

Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.78 (0.42 to 1.1) <0.001 <0.001 1.4 (0.45 to 2.3) 0.003 0.013 1.7 (0.89 to 2.5) <0.001 <0.001 -1.2 (-9.1 to 6.8) 0.78 0.97
speed_cond_num 0.17 (-0.08 to 0.42) 0.19 0.26 -0.18 (-0.53 to 0.17) 0.32 0.64 -0.18 (-0.41 to 0.05) 0.12 0.16 0.24 (-11 to 12) 0.97 0.97
group_char
0.085 0.17
0.70 0.70
0.055 0.11
0.94 0.97
    H1000’s —

—

—

—

    H2000’s -0.45 (-1.0 to 0.09)

-0.27 (-1.6 to 1.1)

0.59 (-0.61 to 1.8)

2.1 (-9.8 to 14)

    H3000’s -0.55 (-1.1 to -0.04)

0.31 (-0.95 to 1.6)

1.4 (0.25 to 2.5)

1.3 (-9.9 to 13)

speed_cond_num * group_char
0.32 0.32
0.48 0.64
0.27 0.27
0.97 0.97
    speed_cond_num * H2000’s 0.28 (-0.10 to 0.65)

0.30 (-0.22 to 0.82)

0.06 (-0.28 to 0.40)

1.8 (-16 to 19)

    speed_cond_num * H3000’s 0.07 (-0.28 to 0.42)

0.03 (-0.47 to 0.52)

-0.20 (-0.52 to 0.12)

0.00 (-16 to 16)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0719, R2c: 0.8523

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0754, R2c: 0.9762

theta_div_beta R2m: 0.0076, R2c: 0.0076

## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `mod = `%>%`(...)`.
## ℹ In row 1.
## Caused by warning:
## ! 'r.squaredGLMM' now calculates a revised statistic. See the help page.
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.34 (0.07 to 0.60) 0.014 0.028 2.6 (1.6 to 3.7) <0.001 <0.001 2.6 (1.9 to 3.3) <0.001 <0.001 -0.51 (-1.8 to 0.73) 0.42 0.71
speed_cond_num 0.20 (0.04 to 0.36) 0.012 0.028 -0.16 (-0.63 to 0.31) 0.52 0.69 -0.33 (-0.58 to -0.08) 0.011 0.022 1.4 (-0.25 to 3.1) 0.095 0.38
group_char
0.046 0.062
0.83 0.83
0.028 0.038
0.83 0.83
    H1000’s —

—

—

—

    H2000’s -0.53 (-0.97 to -0.10)

-0.14 (-1.9 to 1.6)

0.86 (-0.26 to 2.0)

0.38 (-1.6 to 2.4)

    H3000’s -0.32 (-0.70 to 0.07)

0.37 (-1.2 to 1.9)

1.3 (0.35 to 2.3)

0.55 (-1.2 to 2.3)

speed_cond_num * group_char
0.43 0.43
0.19 0.37
0.26 0.26
0.53 0.71
    speed_cond_num * H2000’s 0.14 (-0.11 to 0.40)

-0.48 (-1.2 to 0.28)

-0.25 (-0.66 to 0.16)

-1.1 (-3.9 to 1.6)

    speed_cond_num * H3000’s -0.02 (-0.24 to 0.21)

-0.61 (-1.3 to 0.07)

-0.28 (-0.65 to 0.08)

-1.3 (-3.7 to 1.1)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8963

alpha_avg_power R2m: 0.0079, R2c: 0.9373

beta_avg_power R2m: 0.0805, R2c: 0.9609

theta_div_beta R2m: 0.0114, R2c: 0.1936

Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.15 to 0.61) 0.001 0.004 3.6 (2.7 to 4.6) <0.001 <0.001 2.4 (1.8 to 3.1) <0.001 <0.001 0.41 (-0.18 to 1.0) 0.17 0.69
speed_cond_num 0.08 (-0.09 to 0.24) 0.38 0.50 -0.29 (-0.66 to 0.08) 0.12 0.24 -0.18 (-0.39 to 0.03) 0.10 0.10 0.00 (-0.86 to 0.87)
0.99
0.99
group_char
0.13 0.26
0.76 0.76
0.024 0.033
0.42 0.83
    H1000’s —

—

—

—

    H2000’s -0.28 (-0.64 to 0.07)

-0.46 (-1.9 to 1.0)

0.46 (-0.49 to 1.4)

-0.36 (-1.3 to 0.55)

    H3000’s -0.31 (-0.65 to 0.02)

-0.46 (-1.9 to 0.94)

1.3 (0.35 to 2.2)

-0.58 (-1.5 to 0.29)

speed_cond_num * group_char
0.83 0.83
0.18 0.24
0.008 0.016
0.74 0.98
    speed_cond_num * H2000’s 0.05 (-0.21 to 0.31)

0.00 (-0.57 to 0.57)

-0.09 (-0.42 to 0.24)

0.31 (-1.0 to 1.6)

    speed_cond_num * H3000’s -0.03 (-0.28 to 0.22)

-0.46 (-1.0 to 0.08)

-0.48 (-0.79 to -0.16)

0.50 (-0.77 to 1.8)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.13 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8253

alpha_avg_power R2m: 0.0199, R2c: 0.9533

beta_avg_power R2m: 0.0647, R2c: 0.9651

theta_div_beta R2m: 0.0137, R2c: 0.0243

Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.44 (0.13 to 0.75) 0.005 0.021 4.0 (3.0 to 4.9) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001 0.23 (-0.67 to 1.1) 0.62 0.82
speed_cond_num 0.11 (-0.03 to 0.25) 0.12 0.25 -0.04 (-0.42 to 0.33) 0.82 0.93 -0.04 (-0.23 to 0.15) 0.65 0.65 0.06 (-1.3 to 1.4) 0.93 0.93
group_char
0.50 0.66
0.93 0.93
0.46 0.61
0.035 0.14
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.75 to 0.23)

-0.20 (-1.7 to 1.3)

0.41 (-0.37 to 1.2)

-1.3 (-2.8 to 0.08)

    H3000’s 0.02 (-0.46 to 0.50)

-0.25 (-1.7 to 1.2)

0.41 (-0.35 to 1.2)

0.64 (-0.75 to 2.0)

speed_cond_num * group_char
0.69 0.69
0.60 0.93
0.12 0.24
0.079 0.16
    speed_cond_num * H2000’s 0.09 (-0.13 to 0.31)

-0.25 (-0.84 to 0.35)

-0.20 (-0.50 to 0.10)

1.9 (-0.18 to 4.0)

    speed_cond_num * H3000’s 0.06 (-0.16 to 0.28)

-0.26 (-0.84 to 0.32)

-0.30 (-0.59 to 0.00)

-0.54 (-2.6 to 1.5)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0174, R2c: 0.9358

alpha_avg_power R2m: 0.0062, R2c: 0.9494

beta_avg_power R2m: 0.0109, R2c: 0.9536

theta_div_beta R2m: 0.028, R2c: 0.028

Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.88 (0.50 to 1.3) <0.001 <0.001 1.3 (0.70 to 1.9) <0.001 <0.001 0.80 (0.34 to 1.3) <0.001 0.003 2.2 (-4.6 to 9.0) 0.53
0.99
speed_cond_num 0.46 (0.25 to 0.67) <0.001 <0.001 -0.07 (-0.47 to 0.33) 0.73 0.73 -0.11 (-0.30 to 0.07) 0.24 0.24 0.01 (-9.9 to 9.9)
0.99
0.99
group_char
0.051 0.067
0.35 0.70
0.024 0.048
0.98
0.99
    H1000’s —

—

—

—

    H2000’s -0.59 (-1.1 to -0.03)

0.11 (-0.77 to 0.99)

0.72 (0.04 to 1.4)

-0.96 (-11 to 8.9)

    H3000’s -0.60 (-1.2 to -0.05)

0.62 (-0.26 to 1.5)

0.88 (0.20 to 1.6)

-0.06 (-9.9 to 9.8)

speed_cond_num * group_char
0.47 0.47
0.69 0.73
0.24 0.24
0.94
0.99
    speed_cond_num * H2000’s -0.19 (-0.50 to 0.11)

-0.24 (-0.82 to 0.33)

-0.23 (-0.50 to 0.04)

-2.5 (-17 to 12)

    speed_cond_num * H3000’s -0.09 (-0.39 to 0.22)

-0.18 (-0.75 to 0.40)

-0.16 (-0.43 to 0.11)

-0.84 (-15 to 14)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1341, R2c: 0.9152

alpha_avg_power R2m: 0.0337, R2c: 0.8614

beta_avg_power R2m: 0.0919, R2c: 0.9544

theta_div_beta R2m: 0.0077, R2c: 0.0077

## LME EEG ~ 1+speed+group
Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.72 (0.38 to 1.1) <0.001 <0.001 1.3 (0.41 to 2.2) 0.004 0.012 1.7 (0.93 to 2.5) <0.001 <0.001 -1.5 (-6.9 to 3.9) 0.59 0.83
speed_cond_num 0.27 (0.12 to 0.42) <0.001 <0.001 -0.08 (-0.29 to 0.13) 0.44 0.65 -0.24 (-0.37 to -0.10) <0.001 <0.001 0.76 (-6.1 to 7.7) 0.83 0.83
group_char
0.10 0.10
0.80 0.80
0.087 0.087
0.42 0.83
    H1000’s —

—

—

—

    H2000’s -0.28 (-0.77 to 0.21)

-0.08 (-1.4 to 1.2)

0.62 (-0.55 to 1.8)

3.3 (-1.6 to 8.1)

    H3000’s -0.50 (-0.96 to -0.04)

0.33 (-0.90 to 1.5)

1.2 (0.14 to 2.3)

1.3 (-3.2 to 5.9)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8519

alpha_avg_power R2m: 0.0073, R2c: 0.9522

beta_avg_power R2m: 0.0751, R2c: 0.9761

theta_div_beta R2m: 0.0075, R2c: 0.0075

Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.32 (0.06 to 0.58) 0.015 0.023 2.8 (1.8 to 3.9) <0.001 <0.001 2.7 (2.1 to 3.4) <0.001 <0.001 -0.04 (-0.97 to 0.88) 0.93 0.93
speed_cond_num 0.23 (0.13 to 0.33) <0.001 <0.001 -0.50 (-0.79 to -0.20) 0.001 0.002 -0.49 (-0.65 to -0.34) <0.001 <0.001 0.69 (-0.36 to 1.7) 0.20 0.60
group_char
0.063 0.063
0.85 0.85
0.060 0.060
0.79 0.93
    H1000’s —

—

—

—

    H2000’s -0.44 (-0.85 to -0.04)

-0.44 (-2.1 to 1.2)

0.71 (-0.39 to 1.8)

-0.32 (-1.4 to 0.73)

    H3000’s -0.33 (-0.68 to 0.03)

-0.01 (-1.5 to 1.4)

1.2 (0.20 to 2.1)

-0.26 (-1.2 to 0.67)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0781, R2c: 0.8964

alpha_avg_power R2m: 0.0071, R2c: 0.9369

beta_avg_power R2m: 0.0802, R2c: 0.9608

theta_div_beta R2m: 0.0077, R2c: 0.1918

Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.17 to 0.59) <0.001 0.001 3.7 (2.8 to 4.7) <0.001 <0.001 2.6 (1.9 to 3.2) <0.001 <0.001 0.25 (-0.16 to 0.67) 0.23 0.35
speed_cond_num 0.08 (-0.02 to 0.19) 0.12 0.12 -0.45 (-0.68 to -0.22) <0.001 <0.001 -0.36 (-0.50 to -0.23) <0.001 <0.001 0.26 (-0.28 to 0.79) 0.35 0.35
group_char
0.073 0.11
0.55 0.55
0.11 0.11
0.33 0.35
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.56 to 0.06)

-0.46 (-1.9 to 0.98)

0.41 (-0.53 to 1.3)

-0.17 (-0.55 to 0.21)

    H3000’s -0.33 (-0.63 to -0.03)

-0.75 (-2.1 to 0.61)

0.96 (0.07 to 1.8)

-0.27 (-0.63 to 0.09)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0636, R2c: 0.8266

alpha_avg_power R2m: 0.0193, R2c: 0.9529

beta_avg_power R2m: 0.0634, R2c: 0.9638

theta_div_beta R2m: 0.0115, R2c: 0.0238

Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.11 to 0.72) 0.007 0.011 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.0 to 3.0) <0.001 <0.001 0.00 (-0.65 to 0.65)
0.99
0.99
speed_cond_num 0.15 (0.06 to 0.24) <0.001 0.003 -0.19 (-0.43 to 0.05) 0.12 0.19 -0.19 (-0.31 to -0.07) 0.003 0.004 0.43 (-0.43 to 1.3) 0.33 0.51
group_char
0.57 0.57
0.81 0.81
0.72 0.72
0.34 0.51
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.67 to 0.27)

-0.36 (-1.8 to 1.1)

0.29 (-0.47 to 1.0)

-0.16 (-0.74 to 0.43)

    H3000’s 0.06 (-0.40 to 0.51)

-0.42 (-1.8 to 0.98)

0.22 (-0.51 to 0.96)

0.30 (-0.27 to 0.87)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0173, R2c: 0.9362

alpha_avg_power R2m: 0.006, R2c: 0.9496

beta_avg_power R2m: 0.0102, R2c: 0.9531

theta_div_beta R2m: 0.0108, R2c: 0.0108

Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.94 (0.57 to 1.3) <0.001 <0.001 1.4 (0.82 to 2.0) <0.001 <0.001 0.88 (0.42 to 1.3) <0.001 <0.001 2.8 (-1.8 to 7.4) 0.23 0.67
speed_cond_num 0.37 (0.24 to 0.49) <0.001 <0.001 -0.20 (-0.44 to 0.03) 0.090 0.13 -0.24 (-0.35 to -0.12) <0.001 <0.001 -1.0 (-6.9 to 4.8) 0.73 0.73
group_char
0.012 0.012
0.34 0.34
0.052 0.052
0.45 0.67
    H1000’s —

—

—

—

    H2000’s -0.71 (-1.2 to -0.18)

-0.04 (-0.85 to 0.76)

0.58 (-0.08 to 1.2)

-2.5 (-6.5 to 1.5)

    H3000’s -0.66 (-1.2 to -0.13)

0.51 (-0.30 to 1.3)

0.78 (0.12 to 1.4)

-0.58 (-4.6 to 3.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1337, R2c: 0.9153

alpha_avg_power R2m: 0.0333, R2c: 0.8622

beta_avg_power R2m: 0.0913, R2c: 0.9542

theta_div_beta R2m: 0.0073, R2c: 0.0073

# KINEMATIC TESTS: SPEED, GROUP, INTERACTION ## LME KIN ~ 1+speed+group+speed:group
Cluster: 12
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 17 (14 to 20) <0.001 <0.001 11 (8.8 to 13) <0.001 <0.001 8.9 (8.0 to 9.8) <0.001 <0.001 1.6 (1.5 to 1.7) <0.001 <0.001 22 (21 to 24) <0.001 <0.001
speed_cond_num -2.1 (-5.2 to 0.90) 0.17 0.17 6.0 (3.1 to 8.8) <0.001 <0.001 -6.1 (-7.3 to -4.9) <0.001 <0.001 -1.1 (-1.2 to -0.97) <0.001 <0.001 -16 (-18 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.10 0.10
0.82 0.82
<0.001 <0.001
0.21 0.21
    H1000’s —

—

—

—

—

    H2000’s 7.9 (4.0 to 12)

-3.2 (-6.6 to 0.30)

0.18 (-1.2 to 1.5)

-0.40 (-0.51 to -0.30)

2.1 (-0.23 to 4.5)

    H3000’s 12 (8.7 to 16)

0.32 (-2.9 to 3.6)

-0.25 (-1.5 to 1.0)

-0.59 (-0.68 to -0.49)

0.96 (-1.3 to 3.2)

speed_cond_num * group_char
0.12 0.16
0.10 0.10
0.41 0.54
<0.001 <0.001
0.19 0.21
    speed_cond_num * H2000’s -2.0 (-6.5 to 2.6)

3.6 (-0.66 to 7.9)

0.38 (-1.4 to 2.2)

0.41 (0.27 to 0.55)

-1.8 (-4.9 to 1.2)

    speed_cond_num * H3000’s -4.5 (-8.8 to -0.22)

-0.81 (-4.8 to 3.2)

1.1 (-0.55 to 2.8)

0.57 (0.43 to 0.70)

0.98 (-1.9 to 3.8)

subj_char.sd__(Intercept) 3.7 (NA to NA)

2.9 (NA to NA)

0.91 (NA to NA)

0.06 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 4.0 (NA to NA)

3.7 (NA to NA)

1.6 (NA to NA)

0.12 (NA to NA)

2.7 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3899, R2c: 0.6729

mean_MLexc_COV R2m: 0.1505, R2c: 0.464

mean_StepDur_cov R2m: 0.4346, R2c: 0.5769

mean_StepDur R2m: 0.7552, R2c: 0.8061

mean_UDexc_COV R2m: 0.6665, R2c: 0.7672

Cluster: 7
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 18 (16 to 21) <0.001 <0.001 10 (8.2 to 12) <0.001 <0.001 9.0 (8.2 to 9.8) <0.001 <0.001 1.5 (1.5 to 1.6) <0.001 <0.001 22 (21 to 24) <0.001 <0.001
speed_cond_num -3.5 (-6.3 to -0.71) 0.014 0.019 5.7 (3.5 to 7.9) <0.001 <0.001 -6.3 (-7.3 to -5.2) <0.001 <0.001 -1.0 (-1.1 to -0.93) <0.001 <0.001 -16 (-17 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.031 0.031
0.45 0.45
<0.001 <0.001
0.24 0.24
    H1000’s —

—

—

—

—

    H2000’s 5.8 (1.9 to 9.7)

-2.6 (-5.7 to 0.40)

0.29 (-1.0 to 1.6)

-0.31 (-0.40 to -0.21)

2.0 (-0.36 to 4.3)

    H3000’s 11 (7.2 to 14)

1.5 (-1.2 to 4.2)

-0.52 (-1.7 to 0.64)

-0.53 (-0.61 to -0.44)

0.41 (-1.7 to 2.5)

speed_cond_num * group_char
0.33 0.33
0.002 0.002
0.15 0.20
<0.001 <0.001
0.023 0.031
    speed_cond_num * H2000’s 0.44 (-4.1 to 5.0)

4.9 (1.3 to 8.5)

0.19 (-1.5 to 1.9)

0.30 (0.17 to 0.43)

-2.1 (-4.9 to 0.70)

    speed_cond_num * H3000’s -2.6 (-6.6 to 1.5)

-1.6 (-4.7 to 1.6)

1.4 (-0.10 to 2.9)

0.51 (0.39 to 0.62)

1.9 (-0.62 to 4.3)

subj_char.sd__(Intercept) 3.8 (NA to NA)

2.9 (NA to NA)

0.99 (NA to NA)

0.06 (NA to NA)

2.1 (NA to NA)

Residual.sd__Observation 4.1 (NA to NA)

3.2 (NA to NA)

1.5 (NA to NA)

0.12 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3635, R2c: 0.6534

mean_MLexc_COV R2m: 0.1656, R2c: 0.5392

mean_StepDur_cov R2m: 0.4468, R2c: 0.613

mean_StepDur R2m: 0.7609, R2c: 0.811

mean_UDexc_COV R2m: 0.6392, R2c: 0.7909

Cluster: 4
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 17 (15 to 20) <0.001 <0.001 11 (9.4 to 13) <0.001 <0.001 9.3 (8.5 to 10) <0.001 <0.001 1.6 (1.5 to 1.6) <0.001 <0.001 23 (21 to 24) <0.001 <0.001
speed_cond_num -2.6 (-5.5 to 0.21) 0.070 0.093 5.3 (2.9 to 7.6) <0.001 <0.001 -6.6 (-7.7 to -5.6) <0.001 <0.001 -1.0 (-1.1 to -0.95) <0.001 <0.001 -16 (-18 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.16 0.16
0.045 0.045
<0.001 <0.001
0.38 0.38
    H1000’s —

—

—

—

—

    H2000’s 6.9 (3.3 to 11)

-2.9 (-6.0 to 0.25)

-0.68 (-1.9 to 0.55)

-0.39 (-0.49 to -0.30)

1.4 (-0.89 to 3.7)

    H3000’s 11 (7.8 to 15)

-0.35 (-3.3 to 2.6)

-1.5 (-2.7 to -0.32)

-0.58 (-0.67 to -0.48)

-0.11 (-2.3 to 2.1)

speed_cond_num * group_char
0.43 0.43
0.15 0.16
0.009 0.011
<0.001 <0.001
0.051 0.069
    speed_cond_num * H2000’s -1.3 (-5.7 to 3.1)

2.8 (-0.79 to 6.5)

1.3 (-0.29 to 3.0)

0.40 (0.27 to 0.52)

-1.1 (-3.9 to 1.7)

    speed_cond_num * H3000’s -2.8 (-6.9 to 1.4)

-0.66 (-4.1 to 2.8)

2.5 (0.89 to 4.0)

0.55 (0.43 to 0.67)

2.4 (-0.31 to 5.1)

subj_char.sd__(Intercept) 3.4 (NA to NA)

3.2 (NA to NA)

0.86 (NA to NA)

0.06 (NA to NA)

2.1 (NA to NA)

Residual.sd__Observation 4.1 (NA to NA)

3.4 (NA to NA)

1.5 (NA to NA)

0.12 (NA to NA)

2.7 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3892, R2c: 0.6362

mean_MLexc_COV R2m: 0.1227, R2c: 0.5268

mean_StepDur_cov R2m: 0.4317, R2c: 0.5666

mean_StepDur R2m: 0.7498, R2c: 0.8026

mean_UDexc_COV R2m: 0.6246, R2c: 0.7702

Cluster: 8
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 18 (16 to 20) <0.001 <0.001 11 (9.2 to 13) <0.001 <0.001 9.3 (8.5 to 10) <0.001 <0.001 1.6 (1.5 to 1.6) <0.001 <0.001 23 (21 to 24) <0.001 <0.001
speed_cond_num -3.5 (-6.2 to -0.79) 0.011 0.015 5.6 (3.2 to 7.9) <0.001 <0.001 -6.6 (-7.6 to -5.5) <0.001 <0.001 -1.0 (-1.1 to -0.94) <0.001 <0.001 -16 (-18 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.10 0.10
0.19 0.19
<0.001 <0.001
0.24 0.31
    H1000’s —

—

—

—

—

    H2000’s 6.2 (2.8 to 9.7)

-2.8 (-5.9 to 0.27)

-0.25 (-1.5 to 1.0)

-0.38 (-0.47 to -0.28)

1.8 (-0.27 to 3.9)

    H3000’s 12 (8.2 to 15)

0.52 (-2.5 to 3.6)

-1.1 (-2.4 to 0.11)

-0.57 (-0.66 to -0.48)

0.70 (-1.3 to 2.7)

speed_cond_num * group_char
0.10 0.10
0.038 0.050
0.062 0.083
<0.001 <0.001
0.38 0.38
    speed_cond_num * H2000’s -0.54 (-4.8 to 3.7)

3.8 (0.10 to 7.5)

0.90 (-0.80 to 2.6)

0.36 (0.24 to 0.49)

-1.1 (-3.7 to 1.4)

    speed_cond_num * H3000’s -4.4 (-8.6 to -0.19)

-1.1 (-4.8 to 2.5)

2.0 (0.33 to 3.7)

0.55 (0.43 to 0.67)

0.83 (-1.7 to 3.4)

subj_char.sd__(Intercept) 3.1 (NA to NA)

3.1 (NA to NA)

0.94 (NA to NA)

0.06 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 4.2 (NA to NA)

3.7 (NA to NA)

1.7 (NA to NA)

0.12 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3778, R2c: 0.5985

mean_MLexc_COV R2m: 0.1292, R2c: 0.4997

mean_StepDur_cov R2m: 0.4146, R2c: 0.5549

mean_StepDur R2m: 0.7606, R2c: 0.8038

mean_UDexc_COV R2m: 0.6686, R2c: 0.791

Cluster: 11
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 18 (16 to 21) <0.001 <0.001 10 (8.2 to 12) <0.001 <0.001 8.7 (8.0 to 9.5) <0.001 <0.001 1.5 (1.5 to 1.6) <0.001 <0.001 22 (21 to 24) <0.001 <0.001
speed_cond_num -3.9 (-7.2 to -0.66) 0.019 0.025 6.1 (3.4 to 8.8) <0.001 <0.001 -5.9 (-6.8 to -4.9) <0.001 <0.001 -1.0 (-1.1 to -0.91) <0.001 <0.001 -16 (-18 to -14) <0.001 <0.001
group_char
<0.001 <0.001
<0.001 <0.001
0.18 0.18
<0.001 <0.001
0.35 0.35
    H1000’s —

—

—

—

—

    H2000’s 5.8 (1.9 to 9.7)

-3.5 (-6.5 to -0.50)

-0.88 (-2.0 to 0.22)

-0.39 (-0.49 to -0.30)

1.5 (-0.57 to 3.6)

    H3000’s 14 (10 to 18)

2.6 (-0.44 to 5.5)

0.05 (-1.0 to 1.1)

-0.64 (-0.74 to -0.54)

0.95 (-1.1 to 3.0)

speed_cond_num * group_char
0.11 0.11
<0.001 <0.001
0.088 0.12
<0.001 <0.001
0.28 0.35
    speed_cond_num * H2000’s 0.73 (-4.0 to 5.5)

4.8 (0.90 to 8.8)

1.5 (0.13 to 2.9)

0.40 (0.27 to 0.53)

-0.78 (-3.3 to 1.8)

    speed_cond_num * H3000’s -4.1 (-8.9 to 0.64)

-3.0 (-6.9 to 0.95)

1.0 (-0.36 to 2.4)

0.61 (0.48 to 0.74)

1.3 (-1.2 to 3.8)

subj_char.sd__(Intercept) 3.4 (NA to NA)

2.1 (NA to NA)

0.91 (NA to NA)

0.07 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 4.3 (NA to NA)

3.5 (NA to NA)

1.2 (NA to NA)

0.12 (NA to NA)

2.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4474, R2c: 0.6644

mean_MLexc_COV R2m: 0.2096, R2c: 0.4145

mean_StepDur_cov R2m: 0.4782, R2c: 0.6618

mean_StepDur R2m: 0.7454, R2c: 0.8117

mean_UDexc_COV R2m: 0.6944, R2c: 0.818

## LME KIN ~ 1+speed+group
Cluster: 12
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 18 (16 to 21) <0.001 <0.001 11 (8.8 to 12) <0.001 <0.001 8.6 (7.9 to 9.2) <0.001 <0.001 1.4 (1.3 to 1.4) <0.001 <0.001 22 (21 to 24) <0.001 <0.001
speed_cond_num -4.3 (-6.1 to -2.5) <0.001 <0.001 6.7 (5.0 to 8.4) <0.001 <0.001 -5.6 (-6.3 to -4.9) <0.001 <0.001 -0.75 (-0.81 to -0.68) <0.001 <0.001 -16 (-17 to -15) <0.001 <0.001
group_char
<0.001 <0.001
0.71 0.71
0.39 0.39
<0.001 <0.001
0.060 0.060
    H1000’s —

—

—

—

—

    H2000’s 6.7 (4.0 to 9.4)

-0.89 (-3.1 to 1.3)

0.42 (-0.34 to 1.2)

-0.15 (-0.20 to -0.09)

1.0 (-0.40 to 2.4)

    H3000’s 9.6 (7.1 to 12)

-0.20 (-2.2 to 1.8)

0.46 (-0.25 to 1.2)

-0.23 (-0.28 to -0.18)

1.6 (0.26 to 2.9)

subj_char.sd__(Intercept) 3.7 (NA to NA)

2.8 (NA to NA)

0.91 (NA to NA)

0.05 (NA to NA)

1.7 (NA to NA)

Residual.sd__Observation 4.0 (NA to NA)

3.8 (NA to NA)

1.6 (NA to NA)

0.15 (NA to NA)

2.7 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3847, R2c: 0.6681

mean_MLexc_COV R2m: 0.141, R2c: 0.4532

mean_StepDur_cov R2m: 0.433, R2c: 0.5758

mean_StepDur R2m: 0.6953, R2c: 0.7269

mean_UDexc_COV R2m: 0.6649, R2c: 0.7648

Cluster: 7
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 19 (17 to 21) <0.001 <0.001 9.7 (8.2 to 11) <0.001 <0.001 8.6 (8.0 to 9.3) <0.001 <0.001 1.4 (1.3 to 1.4) <0.001 <0.001 22 (21 to 23) <0.001 <0.001
speed_cond_num -4.4 (-6.1 to -2.6) <0.001 <0.001 6.3 (4.9 to 7.8) <0.001 <0.001 -5.7 (-6.4 to -5.1) <0.001 <0.001 -0.75 (-0.81 to -0.69) <0.001 <0.001 -15 (-17 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.85 0.85
0.48 0.48
<0.001 <0.001
0.074 0.074
    H1000’s —

—

—

—

—

    H2000’s 6.0 (3.4 to 8.7)

0.42 (-1.6 to 2.5)

0.41 (-0.36 to 1.2)

-0.12 (-0.17 to -0.07)

0.66 (-0.87 to 2.2)

    H3000’s 9.0 (6.7 to 11)

0.49 (-1.3 to 2.3)

0.35 (-0.33 to 1.0)

-0.21 (-0.26 to -0.16)

1.6 (0.22 to 2.9)

subj_char.sd__(Intercept) 3.8 (NA to NA)

2.9 (NA to NA)

0.99 (NA to NA)

0.05 (NA to NA)

2.1 (NA to NA)

Residual.sd__Observation 4.1 (NA to NA)

3.3 (NA to NA)

1.5 (NA to NA)

0.14 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3614, R2c: 0.6524

mean_MLexc_COV R2m: 0.1443, R2c: 0.5116

mean_StepDur_cov R2m: 0.4427, R2c: 0.6085

mean_StepDur R2m: 0.71, R2c: 0.7438

mean_UDexc_COV R2m: 0.6348, R2c: 0.7843

Cluster: 4
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 18 (16 to 20) <0.001 <0.001 11 (9.4 to 13) <0.001 <0.001 8.6 (7.9 to 9.2) <0.001 <0.001 1.4 (1.3 to 1.4) <0.001 <0.001 22 (21 to 24) <0.001 <0.001
speed_cond_num -3.9 (-5.7 to -2.2) <0.001 <0.001 5.9 (4.4 to 7.3) <0.001 <0.001 -5.4 (-6.1 to -4.7) <0.001 <0.001 -0.74 (-0.80 to -0.67) <0.001 <0.001 -16 (-17 to -14) <0.001 <0.001
group_char
<0.001 <0.001
0.57 0.57
0.90 0.90
<0.001 <0.001
0.15 0.15
    H1000’s —

—

—

—

—

    H2000’s 6.1 (3.8 to 8.5)

-1.1 (-3.2 to 1.0)

0.16 (-0.53 to 0.84)

-0.15 (-0.20 to -0.09)

0.73 (-0.75 to 2.2)

    H3000’s 9.5 (7.3 to 12)

-0.77 (-2.8 to 1.3)

0.04 (-0.61 to 0.69)

-0.23 (-0.28 to -0.18)

1.4 (-0.01 to 2.8)

subj_char.sd__(Intercept) 3.4 (NA to NA)

3.2 (NA to NA)

0.85 (NA to NA)

0.05 (NA to NA)

2.1 (NA to NA)

Residual.sd__Observation 4.1 (NA to NA)

3.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

2.7 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.3878, R2c: 0.636

mean_MLexc_COV R2m: 0.1167, R2c: 0.5205

mean_StepDur_cov R2m: 0.4179, R2c: 0.549

mean_StepDur R2m: 0.6909, R2c: 0.7248

mean_UDexc_COV R2m: 0.6212, R2c: 0.7648

Cluster: 8
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 19 (17 to 21) <0.001 <0.001 11 (9.0 to 12) <0.001 <0.001 8.7 (8.1 to 9.4) <0.001 <0.001 1.4 (1.3 to 1.4) <0.001 <0.001 23 (22 to 24) <0.001 <0.001
speed_cond_num -5.0 (-6.7 to -3.2) <0.001 <0.001 6.3 (4.8 to 7.8) <0.001 <0.001 -5.7 (-6.4 to -5.0) <0.001 <0.001 -0.75 (-0.81 to -0.69) <0.001 <0.001 -16 (-17 to -15) <0.001 <0.001
group_char
<0.001 <0.001
0.91 0.91
0.69 0.69
<0.001 <0.001
0.11 0.11
    H1000’s —

—

—

—

—

    H2000’s 5.9 (3.7 to 8.0)

-0.46 (-2.5 to 1.6)

0.32 (-0.40 to 1.0)

-0.15 (-0.20 to -0.10)

1.1 (-0.22 to 2.4)

    H3000’s 8.8 (6.7 to 11)

-0.21 (-2.2 to 1.8)

0.11 (-0.58 to 0.81)

-0.23 (-0.28 to -0.18)

1.2 (-0.06 to 2.5)

subj_char.sd__(Intercept) 3.1 (NA to NA)

3.1 (NA to NA)

0.94 (NA to NA)

0.04 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 4.3 (NA to NA)

3.7 (NA to NA)

1.7 (NA to NA)

0.14 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.372, R2c: 0.5928

mean_MLexc_COV R2m: 0.1183, R2c: 0.4867

mean_StepDur_cov R2m: 0.4073, R2c: 0.5462

mean_StepDur R2m: 0.7043, R2c: 0.7294

mean_UDexc_COV R2m: 0.6684, R2c: 0.7906

Cluster: 11
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 19 (17 to 21) <0.001 <0.001 9.9 (8.3 to 11) <0.001 <0.001 8.2 (7.6 to 8.8) <0.001 <0.001 1.3 (1.3 to 1.4) <0.001 <0.001 22 (21 to 23) <0.001 <0.001
speed_cond_num -5.0 (-7.0 to -3.1) <0.001 <0.001 6.7 (5.0 to 8.3) <0.001 <0.001 -5.1 (-5.6 to -4.5) <0.001 <0.001 -0.68 (-0.74 to -0.61) <0.001 <0.001 -16 (-17 to -15) <0.001 <0.001
group_char
<0.001 <0.001
0.43 0.43
0.10 0.10
<0.001 <0.001
0.039 0.039
    H1000’s —

—

—

—

—

    H2000’s 6.3 (3.8 to 8.8)

-0.46 (-2.2 to 1.2)

0.06 (-0.62 to 0.74)

-0.15 (-0.20 to -0.09)

1.0 (-0.33 to 2.4)

    H3000’s 11 (8.8 to 14)

0.69 (-1.0 to 2.4)

0.68 (0.00 to 1.4)

-0.26 (-0.31 to -0.20)

1.8 (0.39 to 3.1)

subj_char.sd__(Intercept) 3.4 (NA to NA)

2.0 (NA to NA)

0.90 (NA to NA)

0.05 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 4.3 (NA to NA)

3.7 (NA to NA)

1.2 (NA to NA)

0.14 (NA to NA)

2.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.4423, R2c: 0.6587

mean_MLexc_COV R2m: 0.1738, R2c: 0.369

mean_StepDur_cov R2m: 0.4726, R2c: 0.6553

mean_StepDur R2m: 0.6736, R2c: 0.7162

mean_UDexc_COV R2m: 0.6935, R2c: 0.8172

# EEG TESTS: KINEMATIC, GROUP, INTERACTION ## LME EEG ~ 1+kin+group+kin:group
Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.56 to 1.6) <0.001 <0.001 1.3 (0.30 to 2.3) 0.011 0.044 1.7 (0.80 to 2.5) <0.001 <0.001 -2.0 (-15 to 12) 0.77 0.89
mean_APexc_COV -0.01 (-0.03 to 0.01) 0.36 0.48 0.00 (-0.04 to 0.03) 0.78 0.86 -0.01 (-0.03 to 0.02) 0.63 0.63 0.06 (-0.77 to 0.90) 0.89 0.89
group_char
0.15 0.30
0.86 0.86
0.47 0.63
0.47 0.89
    H1000’s —

—

—

—

    H2000’s -0.24 (-1.1 to 0.58)

-0.36 (-2.0 to 1.2)

0.29 (-1.0 to 1.6)

12 (-8.5 to 33)

    H3000’s -0.70 (-1.4 to 0.01)

0.05 (-1.4 to 1.5)

0.75 (-0.45 to 2.0)

1.8 (-16 to 20)

mean_APexc_COV * group_char
0.62 0.62
0.79 0.86
0.27 0.54
0.64 0.89
    mean_APexc_COV * H2000’s 0.00 (-0.03 to 0.04)

0.01 (-0.03 to 0.06)

0.02 (-0.01 to 0.05)

-0.41 (-1.5 to 0.66)

    mean_APexc_COV * H3000’s 0.01 (-0.02 to 0.04)

0.01 (-0.03 to 0.05)

0.02 (0.00 to 0.05)

-0.04 (-1.0 to 0.92)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8434

alpha_avg_power R2m: 0.0076, R2c: 0.9517

beta_avg_power R2m: 0.0754, R2c: 0.9752

theta_div_beta R2m: 0.0116, R2c: 0.0116

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.67 to 1.5) <0.001 <0.001 1.1 (0.20 to 2.1) 0.018 0.071 1.4 (0.59 to 2.2) <0.001 0.003 -7.5 (-19 to 4.0) 0.20 0.33
mean_APexc_mean -3.8 (-8.7 to 1.1) 0.13 0.17 1.9 (-4.7 to 8.5) 0.58 0.77 3.0 (-1.4 to 7.4) 0.18 0.24 120 (-84 to 323) 0.25 0.33
group_char
0.056 0.11
0.94 0.94
0.11 0.23
0.25 0.33
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.83 to 0.42)

-0.22 (-1.6 to 1.2)

0.48 (-0.74 to 1.7)

14 (-2.5 to 30)

    H3000’s -0.70 (-1.3 to -0.11)

0.02 (-1.3 to 1.3)

1.2 (0.07 to 2.3)

8.0 (-6.5 to 23)

mean_APexc_mean * group_char
0.41 0.41
0.33 0.65
0.62 0.62
0.41 0.41
    mean_APexc_mean * H2000’s -2.2 (-10 to 5.5)

3.2 (-7.3 to 14)

3.5 (-3.5 to 10)

-204 (-511 to 103)

    mean_APexc_mean * H3000’s 3.5 (-4.3 to 11)

8.1 (-2.5 to 19)

1.7 (-5.4 to 8.8)

-123 (-408 to 161)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.45 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.068, R2c: 0.8444

alpha_avg_power R2m: 0.0098, R2c: 0.9531

beta_avg_power R2m: 0.0759, R2c: 0.9755

theta_div_beta R2m: 0.0149, R2c: 0.0149

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.95 (0.49 to 1.4) <0.001 <0.001 1.6 (0.64 to 2.6) 0.001 0.005 1.8 (0.92 to 2.6) <0.001 <0.001 3.1 (-7.2 to 13) 0.56 0.86
mean_MLexc_COV 0.00 (-0.03 to 0.02) 0.72 0.72 -0.03 (-0.06 to 0.00) 0.10 0.20 -0.01 (-0.03 to 0.01) 0.22 0.30 -0.27 (-0.93 to 0.38) 0.41 0.86
group_char
0.071 0.14
0.66 0.66
0.11 0.23
0.86 0.86
    H1000’s —

—

—

—

    H2000’s -0.59 (-1.2 to 0.05)

-0.62 (-2.0 to 0.80)

0.48 (-0.75 to 1.7)

0.89 (-13 to 15)

    H3000’s -0.69 (-1.3 to -0.06)

-0.11 (-1.5 to 1.2)

1.2 (0.06 to 2.4)

-3.0 (-18 to 12)

mean_MLexc_COV * group_char
0.30 0.40
0.16 0.21
0.71 0.71
0.84 0.86
    mean_MLexc_COV * H2000’s 0.02 (-0.01 to 0.05)

0.04 (0.00 to 0.08)

0.01 (-0.02 to 0.04)

0.15 (-0.77 to 1.1)

    mean_MLexc_COV * H3000’s 0.01 (-0.02 to 0.04)

0.03 (-0.01 to 0.07)

0.00 (-0.03 to 0.03)

0.29 (-0.66 to 1.2)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.31 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0675, R2c: 0.8445

alpha_avg_power R2m: 0.0088, R2c: 0.9518

beta_avg_power R2m: 0.0748, R2c: 0.9748

theta_div_beta R2m: 0.0106, R2c: 0.0106

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.61 to 1.4) <0.001 <0.001 0.95 (0.01 to 1.9) 0.047 0.19 1.4 (0.55 to 2.2) 0.001 0.004 -5.6 (-15 to 4.2) 0.26 0.44
mean_MLexc_mean -1.7 (-4.8 to 1.5) 0.30 0.40 3.7 (-0.79 to 8.1) 0.11 0.21 2.6 (-0.33 to 5.5) 0.082 0.13 58 (-59 to 175) 0.33 0.44
group_char
0.21 0.40
0.76 0.76
0.10 0.13
0.32 0.44
    H1000’s —

—

—

—

    H2000’s -0.03 (-0.62 to 0.56)

0.27 (-1.1 to 1.7)

0.68 (-0.53 to 1.9)

10 (-3.2 to 24)

    H3000’s -0.45 (-1.0 to 0.11)

0.49 (-0.81 to 1.8)

1.2 (0.10 to 2.4)

6.0 (-6.5 to 19)

mean_MLexc_mean * group_char
0.42 0.42
0.27 0.37
0.79 0.79
0.53 0.53
    mean_MLexc_mean * H2000’s -2.2 (-6.0 to 1.6)

-4.3 (-9.7 to 1.1)

-1.0 (-4.6 to 2.5)

-84 (-232 to 63)

    mean_MLexc_mean * H3000’s -0.55 (-4.5 to 3.4)

-2.2 (-7.8 to 3.5)

-0.16 (-3.9 to 3.6)

-59 (-205 to 86)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0763, R2c: 0.8546

alpha_avg_power R2m: 0.0084, R2c: 0.9519

beta_avg_power R2m: 0.0756, R2c: 0.9756

theta_div_beta R2m: 0.0125, R2c: 0.0125

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.65 to 1.4) <0.001 <0.001 1.1 (0.17 to 2.0) 0.020 0.082 1.5 (0.66 to 2.3) <0.001 0.001 -2.9 (-12 to 6.6) 0.55 0.75
mean_StepDur -0.16 (-0.37 to 0.06) 0.15 0.27 0.17 (-0.13 to 0.47) 0.26 0.52 0.12 (-0.08 to 0.32) 0.23 0.29 2.1 (-7.6 to 12) 0.67 0.75
group_char
0.31 0.31
0.91 0.91
0.21 0.29
0.54 0.75
    H1000’s —

—

—

—

    H2000’s 0.00 (-0.61 to 0.60)

0.08 (-1.3 to 1.5)

0.51 (-0.71 to 1.7)

9.3 (-7.2 to 26)

    H3000’s -0.41 (-0.99 to 0.17)

0.28 (-1.0 to 1.6)

1.0 (-0.11 to 2.2)

3.7 (-12 to 19)

mean_StepDur * group_char
0.20 0.27
0.76 0.91
0.29 0.29
0.75 0.75
    mean_StepDur * H2000’s -0.39 (-0.83 to 0.05)

-0.17 (-0.78 to 0.44)

0.17 (-0.23 to 0.57)

-7.4 (-27 to 12)

    mean_StepDur * H3000’s -0.19 (-0.67 to 0.29)

0.13 (-0.54 to 0.80)

0.33 (-0.11 to 0.77)

-2.7 (-22 to 17)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0725, R2c: 0.848

alpha_avg_power R2m: 0.0077, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9755

theta_div_beta R2m: 0.0096, R2c: 0.0096

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.96 (0.60 to 1.3) <0.001 <0.001 1.1 (0.20 to 2.0) 0.017 0.068 1.5 (0.68 to 2.3) <0.001 0.001 -3.6 (-11 to 3.9) 0.35 0.82
mean_StepDur_cov -0.01 (-0.05 to 0.02) 0.35 0.57 0.03 (-0.01 to 0.07) 0.19 0.38 0.02 (-0.01 to 0.05) 0.23 0.31 0.51 (-0.82 to 1.8) 0.45 0.82
group_char
0.44 0.57
0.77 0.77
0.13 0.26
0.61 0.82
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.78 to 0.33)

0.07 (-1.3 to 1.4)

0.62 (-0.57 to 1.8)

5.5 (-5.9 to 17)

    H3000’s -0.35 (-0.88 to 0.19)

0.44 (-0.84 to 1.7)

1.2 (0.03 to 2.3)

3.9 (-7.6 to 15)

mean_StepDur_cov * group_char
0.57 0.57
0.65 0.77
0.83 0.83
0.85 0.85
    mean_StepDur_cov * H2000’s -0.01 (-0.06 to 0.04)

-0.03 (-0.10 to 0.04)

0.00 (-0.05 to 0.04)

-0.44 (-2.4 to 1.5)

    mean_StepDur_cov * H3000’s -0.03 (-0.08 to 0.02)

-0.02 (-0.09 to 0.05)

0.01 (-0.03 to 0.06)

-0.52 (-2.5 to 1.5)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0676, R2c: 0.8488

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0744, R2c: 0.9751

theta_div_beta R2m: 0.0096, R2c: 0.0096

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.62 to 1.4) <0.001 <0.001 1.1 (0.23 to 2.1) 0.014 0.056 1.4 (0.64 to 2.2) <0.001 0.002 -1.5 (-9.9 to 7.0) 0.73
0.99
mean_UDexc_COV -0.01 (-0.02 to 0.01) 0.21 0.42 0.01 (-0.01 to 0.03) 0.41 0.82 0.01 (0.00 to 0.02) 0.10 0.16 0.04 (-0.59 to 0.66) 0.91
0.99
group_char
0.38 0.50
0.77 0.82
0.12 0.16
0.86
0.99
    H1000’s —

—

—

—

    H2000’s -0.17 (-0.73 to 0.39)

0.02 (-1.3 to 1.4)

0.63 (-0.57 to 1.8)

3.5 (-8.7 to 16)

    H3000’s -0.38 (-0.92 to 0.16)

0.42 (-0.86 to 1.7)

1.2 (0.06 to 2.3)

1.9 (-11 to 14)

mean_UDexc_COV * group_char
0.69 0.69
0.82 0.82
0.94 0.94
0.99
0.99
    mean_UDexc_COV * H2000’s -0.01 (-0.03 to 0.01)

-0.01 (-0.04 to 0.02)

0.00 (-0.02 to 0.02)

-0.02 (-0.88 to 0.85)

    mean_UDexc_COV * H3000’s -0.01 (-0.03 to 0.01)

-0.01 (-0.04 to 0.02)

0.00 (-0.02 to 0.02)

-0.05 (-0.92 to 0.83)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8527

alpha_avg_power R2m: 0.0073, R2c: 0.9517

beta_avg_power R2m: 0.0748, R2c: 0.9755

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.77 (0.37 to 1.2) <0.001 <0.001 1.3 (0.41 to 2.3) 0.005 0.019 1.7 (0.89 to 2.5) <0.001 <0.001 -0.68 (-10 to 8.9) 0.89 0.98
mean_UDexc_mean 5.1 (-3.9 to 14) 0.27 0.36 -3.7 (-16 to 9.0) 0.57 0.69 -5.6 (-14 to 2.6) 0.18 0.18 -14 (-397 to 369) 0.94 0.98
group_char
0.087 0.17
0.69 0.69
0.044 0.088
0.98 0.98
    H1000’s —

—

—

—

    H2000’s -0.48 (-1.1 to 0.11)

-0.29 (-1.7 to 1.1)

0.56 (-0.65 to 1.8)

-0.41 (-14 to 14)

    H3000’s -0.59 (-1.1 to -0.04)

0.31 (-0.98 to 1.6)

1.4 (0.30 to 2.6)

0.81 (-12 to 14)

mean_UDexc_mean * group_char
0.52 0.52
0.57 0.69
0.15 0.18
0.84 0.98
    mean_UDexc_mean * H2000’s 7.4 (-5.2 to 20)

8.4 (-9.3 to 26)

2.9 (-8.5 to 14)

145 (-388 to 679)

    mean_UDexc_mean * H3000’s 3.6 (-8.8 to 16)

0.64 (-17 to 18)

-7.8 (-19 to 3.5)

21 (-493 to 535)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0716, R2c: 0.8539

alpha_avg_power R2m: 0.0075, R2c: 0.9518

beta_avg_power R2m: 0.0757, R2c: 0.9762

theta_div_beta R2m: 0.0092, R2c: 0.0092

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.65 to 1.4) <0.001 <0.001 1.1 (0.21 to 2.0) 0.016 0.063 1.5 (0.69 to 2.3) <0.001 0.001 -2.5 (-10 to 5.5) 0.54 0.70
mean_StanceDur -0.10 (-0.23 to 0.03) 0.14 0.28 0.11 (-0.07 to 0.29) 0.25 0.50 0.07 (-0.05 to 0.19) 0.24 0.25 1.2 (-4.6 to 7.0) 0.70 0.70
group_char
0.26 0.28
0.90 0.90
0.18 0.25
0.45 0.70
    H1000’s —

—

—

—

    H2000’s -0.09 (-0.65 to 0.48)

0.03 (-1.3 to 1.4)

0.52 (-0.68 to 1.7)

8.7 (-4.8 to 22)

    H3000’s -0.43 (-0.97 to 0.11)

0.28 (-1.0 to 1.6)

1.1 (-0.06 to 2.2)

3.1 (-9.7 to 16)

mean_StanceDur * group_char
0.28 0.28
0.78 0.90
0.25 0.25
0.69 0.70
    mean_StanceDur * H2000’s -0.20 (-0.46 to 0.06)

-0.09 (-0.44 to 0.27)

0.11 (-0.13 to 0.34)

-5.0 (-16 to 6.4)

    mean_StanceDur * H3000’s -0.11 (-0.39 to 0.17)

0.08 (-0.31 to 0.47)

0.21 (-0.05 to 0.46)

-1.5 (-13 to 10)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0714, R2c: 0.8479

alpha_avg_power R2m: 0.0078, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9756

theta_div_beta R2m: 0.0103, R2c: 0.0103

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.65 to 1.4) <0.001 <0.001 1.1 (0.17 to 2.0) 0.020 0.082 1.5 (0.66 to 2.3) <0.001 0.001 -2.9 (-12 to 6.6) 0.55 0.75
mean_GaitCycleDur -0.08 (-0.19 to 0.03) 0.15 0.28 0.09 (-0.06 to 0.24) 0.26 0.51 0.06 (-0.04 to 0.16) 0.23 0.29 1.0 (-3.8 to 5.9) 0.67 0.75
group_char
0.32 0.32
0.91 0.91
0.21 0.29
0.54 0.75
    H1000’s —

—

—

—

    H2000’s -0.01 (-0.61 to 0.60)

0.08 (-1.3 to 1.5)

0.51 (-0.71 to 1.7)

9.2 (-7.2 to 26)

    H3000’s -0.41 (-0.99 to 0.17)

0.28 (-1.0 to 1.6)

1.0 (-0.11 to 2.2)

3.7 (-12 to 19)

mean_GaitCycleDur * group_char
0.21 0.28
0.76 0.91
0.29 0.29
0.75 0.75
    mean_GaitCycleDur * H2000’s -0.19 (-0.41 to 0.03)

-0.08 (-0.39 to 0.22)

0.09 (-0.11 to 0.29)

-3.7 (-13 to 6.0)

    mean_GaitCycleDur * H3000’s -0.09 (-0.33 to 0.14)

0.06 (-0.27 to 0.40)

0.17 (-0.06 to 0.39)

-1.4 (-11 to 8.3)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0724, R2c: 0.8479

alpha_avg_power R2m: 0.0077, R2c: 0.9521

beta_avg_power R2m: 0.0754, R2c: 0.9755

theta_div_beta R2m: 0.0095, R2c: 0.0095

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.79 (0.43 to 1.2) <0.001 <0.001 1.3 (0.42 to 2.2) 0.004 0.017 1.7 (0.88 to 2.5) <0.001 <0.001 -1.2 (-8.9 to 6.6) 0.77 0.97
mean_PeakUpDownVel_mean 0.40 (-0.27 to 1.1) 0.24 0.32 -0.31 (-1.2 to 0.62) 0.52 0.68 -0.42 (-1.0 to 0.19) 0.18 0.18 0.73 (-29 to 31) 0.96 0.97
group_char
0.077 0.15
0.68 0.68
0.049 0.10
0.97 0.97
    H1000’s —

—

—

—

    H2000’s -0.45 (-1.0 to 0.09)

-0.24 (-1.6 to 1.1)

0.57 (-0.62 to 1.8)

1.2 (-10 to 13)

    H3000’s -0.57 (-1.1 to -0.05)

0.34 (-0.92 to 1.6)

1.4 (0.28 to 2.5)

1.2 (-9.6 to 12)

mean_PeakUpDownVel_mean * group_char
0.42 0.42
0.52 0.68
0.17 0.18
0.92 0.97
    mean_PeakUpDownVel_mean * H2000’s 0.62 (-0.32 to 1.6)

0.63 (-0.68 to 1.9)

0.24 (-0.62 to 1.1)

7.6 (-34 to 49)

    mean_PeakUpDownVel_mean * H3000’s 0.20 (-0.70 to 1.1)

-0.04 (-1.3 to 1.2)

-0.53 (-1.4 to 0.29)

0.39 (-39 to 40)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.072, R2c: 0.8526

alpha_avg_power R2m: 0.0076, R2c: 0.9518

beta_avg_power R2m: 0.076, R2c: 0.9759

theta_div_beta R2m: 0.0085, R2c: 0.0085

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.42 (0.07 to 0.76) 0.018 0.071 2.4 (1.2 to 3.7) <0.001 <0.001 2.3 (1.6 to 3.1) <0.001 <0.001 1.0 (-1.3 to 3.3) 0.38 0.89
mean_APexc_COV 0.00 (-0.01 to 0.02) 0.73 0.97 0.01 (-0.04 to 0.05) 0.79 0.79 0.01 (-0.02 to 0.03) 0.69 0.77 -0.04 (-0.18 to 0.10) 0.58 0.89
group_char
0.19 0.39
0.68 0.79
0.29 0.58
0.85 0.89
    H1000’s —

—

—

—

    H2000’s -0.51 (-1.2 to 0.15)

-0.81 (-3.1 to 1.4)

0.67 (-0.72 to 2.1)

-1.1 (-5.2 to 2.9)

    H3000’s -0.37 (-0.86 to 0.12)

-0.67 (-2.4 to 1.1)

0.87 (-0.25 to 2.0)

-0.62 (-3.7 to 2.5)

mean_APexc_COV * group_char
0.99 0.99
0.67 0.79
0.77 0.77
0.89 0.89
    mean_APexc_COV * H2000’s 0.00 (-0.02 to 0.03)

0.02 (-0.06 to 0.09)

0.00 (-0.04 to 0.04)

0.05 (-0.15 to 0.25)

    mean_APexc_COV * H3000’s 0.00 (-0.02 to 0.02)

0.02 (-0.03 to 0.08)

0.01 (-0.02 to 0.04)

0.03 (-0.13 to 0.19)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.7 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.70 (NA to NA)

0.40 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0707, R2c: 0.8846

alpha_avg_power R2m: 0.0074, R2c: 0.9344

beta_avg_power R2m: 0.0768, R2c: 0.9532

theta_div_beta R2m: 0.0041, R2c: 0.1988

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.60 (0.30 to 0.91) <0.001 <0.001 2.2 (1.0 to 3.3) <0.001 <0.001 2.0 (1.3 to 2.8) <0.001 <0.001 1.6 (-0.26 to 3.5) 0.091 0.34
mean_APexc_mean -2.6 (-5.8 to 0.61) 0.11 0.15 6.1 (-3.5 to 16) 0.21 0.43 7.4 (2.0 to 13) 0.007 0.015 -22 (-54 to 9.6) 0.17 0.34
group_char
0.15 0.15
0.83 0.83
0.066 0.088
0.47 0.63
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.75 to 0.22)

-0.55 (-2.4 to 1.3)

0.73 (-0.46 to 1.9)

-1.3 (-4.1 to 1.4)

    H3000’s -0.43 (-0.86 to 0.00)

-0.30 (-1.9 to 1.3)

1.2 (0.19 to 2.3)

-1.5 (-3.9 to 1.0)

mean_APexc_mean * group_char
0.13 0.15
0.53 0.70
0.99 0.99
0.63 0.63
    mean_APexc_mean * H2000’s -4.2 (-9.6 to 1.1)

3.5 (-12 to 20)

0.77 (-8.2 to 9.8)

18 (-34 to 70)

    mean_APexc_mean * H3000’s 1.6 (-3.6 to 6.8)

8.9 (-6.5 to 24)

0.31 (-8.3 to 9.0)

22 (-26 to 70)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0771, R2c: 0.8912

alpha_avg_power R2m: 0.0083, R2c: 0.9364

beta_avg_power R2m: 0.0784, R2c: 0.957

theta_div_beta R2m: 0.0091, R2c: 0.2007

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.21 (-0.11 to 0.53) 0.20 0.27 2.4 (1.2 to 3.6) <0.001 <0.001 2.6 (1.8 to 3.3) <0.001 <0.001 0.66 (-1.2 to 2.5) 0.49 0.88
mean_MLexc_COV 0.02 (0.00 to 0.03) 0.017 0.069 0.01 (-0.04 to 0.06) 0.70 0.91 -0.01 (-0.04 to 0.02) 0.51 0.51 -0.02 (-0.15 to 0.11) 0.76 0.88
group_char
0.090 0.18
0.91 0.91
0.057 0.11
0.78 0.88
    H1000’s —

—

—

—

    H2000’s -0.55 (-1.0 to -0.05)

0.21 (-1.7 to 2.1)

1.1 (-0.06 to 2.3)

-0.98 (-3.7 to 1.8)

    H3000’s -0.30 (-0.75 to 0.15)

-0.19 (-1.9 to 1.5)

1.2 (0.12 to 2.3)

-0.59 (-3.2 to 2.0)

mean_MLexc_COV * group_char
0.64 0.64
0.13 0.27
0.17 0.22
0.88 0.88
    mean_MLexc_COV * H2000’s 0.01 (-0.01 to 0.03)

-0.05 (-0.11 to 0.02)

-0.03 (-0.07 to 0.01)

0.05 (-0.13 to 0.23)

    mean_MLexc_COV * H3000’s 0.00 (-0.02 to 0.02)

0.01 (-0.05 to 0.07)

0.00 (-0.04 to 0.03)

0.02 (-0.15 to 0.20)

subj_char.sd__(Intercept) 0.63 (NA to NA)

2.6 (NA to NA)

1.7 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.70 (NA to NA)

0.39 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0878, R2c: 0.8959

alpha_avg_power R2m: 0.0064, R2c: 0.9337

beta_avg_power R2m: 0.079, R2c: 0.9549

theta_div_beta R2m: 0.0037, R2c: 0.1895

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.62 (0.32 to 0.92) <0.001 <0.001 2.3 (1.2 to 3.5) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 1.3 (-0.39 to 3.0) 0.13 0.51
mean_MLexc_mean -1.9 (-3.8 to 0.00) 0.050 0.10 2.4 (-3.4 to 8.1) 0.42 0.59 4.0 (0.81 to 7.1) 0.014 0.027 -11 (-30 to 7.8) 0.25 0.51
group_char
0.22 0.29
0.67 0.67
0.15 0.20
0.58 0.69
    H1000’s —

—

—

—

    H2000’s -0.31 (-0.78 to 0.15)

-0.81 (-2.6 to 0.98)

0.59 (-0.57 to 1.7)

-1.0 (-3.4 to 1.4)

    H3000’s -0.34 (-0.76 to 0.07)

-0.42 (-2.0 to 1.2)

1.0 (-0.01 to 2.0)

-1.1 (-3.3 to 1.1)

mean_MLexc_mean * group_char
0.41 0.41
0.44 0.59
0.74 0.74
0.69 0.69
    mean_MLexc_mean * H2000’s -1.3 (-3.8 to 1.3)

3.8 (-3.8 to 11)

0.95 (-3.2 to 5.1)

8.6 (-16 to 33)

    mean_MLexc_mean * H3000’s 0.25 (-2.3 to 2.8)

4.8 (-2.8 to 12)

1.7 (-2.5 to 5.8)

10 (-14 to 35)

subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0809, R2c: 0.898

alpha_avg_power R2m: 0.01, R2c: 0.9373

beta_avg_power R2m: 0.0822, R2c: 0.9603

theta_div_beta R2m: 0.0076, R2c: 0.1999

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.62 (0.34 to 0.90) <0.001 <0.001 2.2 (1.1 to 3.3) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 1.2 (-0.27 to 2.8) 0.11 0.43
mean_StepDur -0.17 (-0.32 to -0.03) 0.017 0.034 0.36 (-0.07 to 0.79) 0.10 0.19 0.38 (0.14 to 0.61) 0.002 0.003 -0.94 (-2.5 to 0.57) 0.22 0.44
group_char
0.27 0.27
0.66 0.66
0.18 0.18
0.66 0.83
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.72 to 0.22)

-0.84 (-2.6 to 0.97)

0.47 (-0.70 to 1.6)

-0.88 (-3.6 to 1.9)

    H3000’s -0.34 (-0.76 to 0.09)

-0.38 (-2.0 to 1.2)

0.98 (-0.06 to 2.0)

-1.1 (-3.6 to 1.4)

mean_StepDur * group_char
0.19 0.26
0.25 0.34
0.18 0.18
0.83 0.83
    mean_StepDur * H2000’s -0.27 (-0.57 to 0.02)

0.56 (-0.33 to 1.5)

0.36 (-0.12 to 0.85)

0.56 (-2.6 to 3.7)

    mean_StepDur * H3000’s -0.03 (-0.35 to 0.28)

0.65 (-0.29 to 1.6)

0.38 (-0.14 to 0.89)

0.91 (-2.2 to 4.1)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0787, R2c: 0.8938

alpha_avg_power R2m: 0.0084, R2c: 0.9374

beta_avg_power R2m: 0.08, R2c: 0.9598

theta_div_beta R2m: 0.0076, R2c: 0.1894

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.30 to 0.84) <0.001 <0.001 2.4 (1.3 to 3.4) <0.001 <0.001 2.3 (1.6 to 3.0) <0.001 <0.001 1.4 (0.24 to 2.6) 0.018 0.073
mean_StepDur_cov -0.02 (-0.04 to 0.00) 0.028 0.057 0.03 (-0.02 to 0.09) 0.26 0.51 0.03 (0.00 to 0.07) 0.049 0.10 -0.20 (-0.39 to -0.01) 0.041 0.082
group_char
0.084 0.11
0.79 0.79
0.18 0.24
0.31 0.36
    H1000’s —

—

—

—

    H2000’s -0.40 (-0.84 to 0.05)

-0.60 (-2.3 to 1.1)

0.65 (-0.49 to 1.8)

-1.2 (-3.1 to 0.76)

    H3000’s -0.40 (-0.81 to 0.00)

-0.35 (-1.9 to 1.2)

0.94 (-0.08 to 2.0)

-1.3 (-3.3 to 0.65)

mean_StepDur_cov * group_char
0.47 0.47
0.50 0.67
0.40 0.40
0.36 0.36
    mean_StepDur_cov * H2000’s -0.01 (-0.04 to 0.03)

0.03 (-0.07 to 0.12)

0.01 (-0.05 to 0.06)

0.17 (-0.14 to 0.48)

    mean_StepDur_cov * H3000’s 0.02 (-0.02 to 0.05)

0.06 (-0.04 to 0.16)

0.04 (-0.02 to 0.10)

0.21 (-0.12 to 0.54)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.7 (NA to NA)

1.8 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0742, R2c: 0.8923

alpha_avg_power R2m: 0.0073, R2c: 0.9366

beta_avg_power R2m: 0.0767, R2c: 0.9579

theta_div_beta R2m: 0.0172, R2c: 0.1869

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.58 (0.30 to 0.85) <0.001 <0.001 2.4 (1.3 to 3.5) <0.001 <0.001 2.2 (1.5 to 2.9) <0.001 <0.001 1.2 (-0.09 to 2.6) 0.067 0.27
mean_UDexc_COV -0.01 (-0.02 to 0.00) 0.056 0.11 0.01 (-0.02 to 0.04) 0.59 0.71 0.02 (0.00 to 0.03) 0.033 0.066 -0.07 (-0.16 to 0.02) 0.15 0.30
group_char
0.13 0.17
0.71 0.71
0.23 0.29
0.48 0.57
    H1000’s —

—

—

—

    H2000’s -0.39 (-0.83 to 0.05)

-0.70 (-2.5 to 1.0)

0.61 (-0.54 to 1.7)

-1.1 (-3.1 to 1.0)

    H3000’s -0.35 (-0.76 to 0.05)

-0.44 (-2.0 to 1.1)

0.88 (-0.14 to 1.9)

-1.1 (-3.2 to 0.97)

mean_UDexc_COV * group_char
0.69 0.69
0.35 0.71
0.29 0.29
0.57 0.57
    mean_UDexc_COV * H2000’s 0.00 (-0.02 to 0.01)

0.02 (-0.02 to 0.06)

0.01 (-0.02 to 0.03)

0.06 (-0.08 to 0.20)

    mean_UDexc_COV * H3000’s 0.00 (-0.01 to 0.02)

0.03 (-0.01 to 0.07)

0.02 (0.00 to 0.04)

0.07 (-0.07 to 0.21)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.7 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0748, R2c: 0.8916

alpha_avg_power R2m: 0.0073, R2c: 0.9369

beta_avg_power R2m: 0.0794, R2c: 0.9595

theta_div_beta R2m: 0.0097, R2c: 0.1898

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.30 (0.02 to 0.58) 0.039 0.077 2.6 (1.5 to 3.7) <0.001 <0.001 2.7 (2.0 to 3.4) <0.001 <0.001 -0.48 (-2.0 to 1.0) 0.53 0.84
mean_UDexc_mean 6.7 (1.2 to 12) 0.016 0.066 -1.7 (-18 to 15) 0.84 0.84 -11 (-20 to -2.2) 0.014 0.023 36 (-20 to 93) 0.21 0.83
group_char
0.069 0.092
0.83 0.84
0.017 0.023
0.84 0.84
    H1000’s —

—

—

—

    H2000’s -0.53 (-0.99 to -0.07)

0.03 (-1.7 to 1.8)

0.92 (-0.24 to 2.1)

0.34 (-2.0 to 2.7)

    H3000’s -0.30 (-0.70 to 0.11)

0.45 (-1.1 to 2.0)

1.5 (0.45 to 2.5)

0.65 (-1.5 to 2.8)

mean_UDexc_mean * group_char
0.53 0.53
0.21 0.42
0.13 0.13
0.63 0.84
    mean_UDexc_mean * H2000’s 3.6 (-5.1 to 12)

-20 (-46 to 6.6)

-8.9 (-23 to 4.9)

-28 (-116 to 60)

    mean_UDexc_mean * H3000’s -1.4 (-9.3 to 6.6)

-19 (-43 to 5.3)

-13 (-25 to 0.03)

-38 (-117 to 42)

subj_char.sd__(Intercept) 0.65 (NA to NA)

2.7 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.36 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0775, R2c: 0.8968

alpha_avg_power R2m: 0.0076, R2c: 0.9368

beta_avg_power R2m: 0.082, R2c: 0.9625

theta_div_beta R2m: 0.008, R2c: 0.1975

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.32 to 0.86) <0.001 <0.001 2.3 (1.2 to 3.3) <0.001 <0.001 2.2 (1.5 to 2.9) <0.001 <0.001 1.1 (-0.16 to 2.4) 0.087 0.35
mean_StanceDur -0.10 (-0.19 to -0.02) 0.019 0.037 0.21 (-0.04 to 0.47) 0.095 0.19 0.22 (0.08 to 0.36) 0.002 0.003 -0.59 (-1.5 to 0.30) 0.20 0.39
group_char
0.20 0.25
0.68 0.68
0.15 0.15
0.63 0.83
    H1000’s —

—

—

—

    H2000’s -0.30 (-0.75 to 0.15)

-0.78 (-2.5 to 0.98)

0.51 (-0.63 to 1.7)

-0.83 (-3.1 to 1.5)

    H3000’s -0.34 (-0.74 to 0.06)

-0.34 (-1.9 to 1.2)

1.0 (-0.01 to 2.0)

-0.93 (-3.1 to 1.2)

mean_StanceDur * group_char
0.25 0.25
0.19 0.26
0.15 0.15
0.83 0.83
    mean_StanceDur * H2000’s -0.15 (-0.33 to 0.03)

0.36 (-0.17 to 0.88)

0.22 (-0.07 to 0.51)

0.38 (-1.5 to 2.2)

    mean_StanceDur * H3000’s -0.02 (-0.20 to 0.16)

0.42 (-0.13 to 0.96)

0.24 (-0.06 to 0.54)

0.53 (-1.4 to 2.4)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0778, R2c: 0.8934

alpha_avg_power R2m: 0.0086, R2c: 0.9376

beta_avg_power R2m: 0.08, R2c: 0.96

theta_div_beta R2m: 0.0081, R2c: 0.1883

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.62 (0.34 to 0.90) <0.001 <0.001 2.2 (1.1 to 3.3) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 1.2 (-0.27 to 2.7) 0.11 0.43
mean_GaitCycleDur -0.09 (-0.16 to -0.02) 0.017 0.035 0.18 (-0.03 to 0.39) 0.095 0.19 0.19 (0.07 to 0.31) 0.001 0.003 -0.47 (-1.2 to 0.29) 0.22 0.45
group_char
0.27 0.27
0.67 0.67
0.18 0.19
0.66 0.83
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.72 to 0.22)

-0.83 (-2.6 to 0.98)

0.47 (-0.70 to 1.6)

-0.87 (-3.6 to 1.9)

    H3000’s -0.34 (-0.76 to 0.09)

-0.38 (-2.0 to 1.2)

0.98 (-0.06 to 2.0)

-1.1 (-3.6 to 1.4)

mean_GaitCycleDur * group_char
0.20 0.26
0.26 0.34
0.19 0.19
0.83 0.83
    mean_GaitCycleDur * H2000’s -0.14 (-0.28 to 0.01)

0.28 (-0.17 to 0.72)

0.18 (-0.06 to 0.42)

0.28 (-1.3 to 1.8)

    mean_GaitCycleDur * H3000’s -0.02 (-0.18 to 0.14)

0.32 (-0.15 to 0.79)

0.19 (-0.07 to 0.44)

0.45 (-1.1 to 2.0)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0787, R2c: 0.8938

alpha_avg_power R2m: 0.0084, R2c: 0.9374

beta_avg_power R2m: 0.0799, R2c: 0.9598

theta_div_beta R2m: 0.0075, R2c: 0.1893

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.34 (0.08 to 0.61) 0.012 0.036 2.6 (1.5 to 3.6) <0.001 <0.001 2.6 (1.9 to 3.3) <0.001 <0.001 -0.49 (-1.7 to 0.74) 0.44 0.61
mean_PeakUpDownVel_mean 0.50 (0.08 to 0.91) 0.018 0.036 -0.18 (-1.4 to 1.1) 0.77 0.83 -0.80 (-1.5 to -0.14) 0.018 0.027 3.7 (-0.65 to 8.1) 0.10 0.38
group_char
0.036 0.049
0.83 0.83
0.020 0.027
0.79 0.79
    H1000’s —

—

—

—

    H2000’s -0.55 (-0.98 to -0.11)

-0.07 (-1.8 to 1.7)

0.92 (-0.21 to 2.0)

0.36 (-1.6 to 2.3)

    H3000’s -0.35 (-0.73 to 0.04)

0.40 (-1.1 to 1.9)

1.4 (0.40 to 2.4)

0.62 (-1.1 to 2.4)

mean_PeakUpDownVel_mean * group_char
0.49 0.49
0.17 0.33
0.16 0.16
0.46 0.61
    mean_PeakUpDownVel_mean * H2000’s 0.37 (-0.27 to 1.0)

-1.4 (-3.4 to 0.52)

-0.78 (-1.8 to 0.26)

-2.9 (-9.7 to 3.8)

    mean_PeakUpDownVel_mean * H3000’s 0.04 (-0.55 to 0.62)

-1.6 (-3.3 to 0.19)

-0.84 (-1.8 to 0.11)

-3.7 (-9.8 to 2.3)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0798, R2c: 0.8979

alpha_avg_power R2m: 0.008, R2c: 0.9373

beta_avg_power R2m: 0.0821, R2c: 0.9617

theta_div_beta R2m: 0.0115, R2c: 0.2004

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.04 to 0.68) 0.028 0.11 3.2 (2.1 to 4.3) <0.001 <0.001 2.3 (1.6 to 3.0) <0.001 <0.001 -0.04 (-1.1 to 1.0) 0.94 0.94
mean_APexc_COV 0.00 (-0.01 to 0.02) 0.60 0.60 0.02 (-0.02 to 0.05) 0.38 0.53 0.00 (-0.02 to 0.02) 0.83
0.99
0.03 (-0.04 to 0.09) 0.38 0.84
group_char
0.21 0.42
0.40 0.53
0.20 0.41
0.65 0.87
    H1000’s —

—

—

—

    H2000’s -0.07 (-0.60 to 0.46)

-0.15 (-1.9 to 1.6)

0.37 (-0.74 to 1.5)

-0.08 (-1.8 to 1.7)

    H3000’s -0.41 (-0.88 to 0.06)

-1.0 (-2.6 to 0.55)

0.93 (-0.09 to 2.0)

0.57 (-0.84 to 2.0)

mean_APexc_COV * group_char
0.53 0.60
0.56 0.56
0.99
0.99

0.42 0.84
    mean_APexc_COV * H2000’s -0.01 (-0.03 to 0.01)

-0.02 (-0.07 to 0.03)

0.00 (-0.03 to 0.03)

-0.01 (-0.10 to 0.08)

    mean_APexc_COV * H3000’s 0.00 (-0.02 to 0.02)

0.01 (-0.04 to 0.05)

0.00 (-0.03 to 0.03)

-0.04 (-0.12 to 0.03)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.16 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0645, R2c: 0.8238

alpha_avg_power R2m: 0.0184, R2c: 0.9498

beta_avg_power R2m: 0.0596, R2c: 0.9584

theta_div_beta R2m: 0.0147, R2c: 0.0297

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.44 (0.17 to 0.71) 0.002 0.006 2.9 (1.9 to 4.0) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 0.22 (-0.66 to 1.1) 0.63 0.86
mean_APexc_mean -0.20 (-3.5 to 3.1) 0.91 0.91 8.9 (1.8 to 16) 0.014 0.029 4.3 (-0.06 to 8.6) 0.053 0.11 3.6 (-12 to 19) 0.64 0.86
group_char
0.19 0.39
0.39 0.39
0.26 0.26
0.91 0.91
    H1000’s —

—

—

—

    H2000’s -0.22 (-0.63 to 0.19)

-0.52 (-2.1 to 1.0)

0.22 (-0.79 to 1.2)

0.20 (-1.0 to 1.4)

    H3000’s -0.37 (-0.77 to 0.03)

-1.1 (-2.5 to 0.44)

0.79 (-0.18 to 1.7)

0.25 (-0.91 to 1.4)

mean_APexc_mean * group_char
0.88 0.91
0.28 0.37
0.22 0.26
0.61 0.86
    mean_APexc_mean * H2000’s -0.80 (-6.2 to 4.6)

3.1 (-8.5 to 15)

5.0 (-2.0 to 12)

-7.3 (-31 to 16)

    mean_APexc_mean * H3000’s 0.85 (-5.0 to 6.8)

11 (-2.3 to 23)

5.7 (-2.1 to 13)

-12 (-35 to 12)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.17 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0622, R2c: 0.8237

alpha_avg_power R2m: 0.0237, R2c: 0.956

beta_avg_power R2m: 0.0638, R2c: 0.9637

theta_div_beta R2m: 0.0126, R2c: 0.0312

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.10 (-0.19 to 0.38) 0.52 0.69 3.3 (2.2 to 4.3) <0.001 <0.001 2.4 (1.7 to 3.0) <0.001 <0.001 -0.05 (-0.77 to 0.66) 0.88 0.88
mean_MLexc_COV 0.02 (0.01 to 0.04) 0.001 0.006 0.01 (-0.02 to 0.05) 0.50 0.58 0.00 (-0.02 to 0.02) 0.78 0.80 0.03 (-0.01 to 0.08) 0.17 0.65
group_char
0.81 0.81
0.58 0.58
0.15 0.29
0.48 0.65
    H1000’s —

—

—

—

    H2000’s 0.05 (-0.37 to 0.47)

-0.05 (-1.6 to 1.5)

0.53 (-0.49 to 1.5)

0.53 (-0.57 to 1.6)

    H3000’s -0.09 (-0.50 to 0.32)

-0.74 (-2.3 to 0.79)

0.98 (0.00 to 2.0)

-0.16 (-1.3 to 0.95)

mean_MLexc_COV * group_char
0.11 0.23
0.39 0.58
0.80 0.80
0.41 0.65
    mean_MLexc_COV * H2000’s -0.02 (-0.04 to 0.00)

-0.03 (-0.08 to 0.02)

-0.01 (-0.04 to 0.02)

-0.05 (-0.12 to 0.03)

    mean_MLexc_COV * H3000’s -0.02 (-0.04 to 0.00)

0.00 (-0.05 to 0.05)

0.00 (-0.03 to 0.03)

-0.01 (-0.08 to 0.07)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.12 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0789, R2c: 0.8333

alpha_avg_power R2m: 0.0174, R2c: 0.9499

beta_avg_power R2m: 0.0601, R2c: 0.9587

theta_div_beta R2m: 0.0191, R2c: 0.0279

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.30 to 0.84) <0.001 <0.001 3.2 (2.2 to 4.2) <0.001 <0.001 2.2 (1.5 to 2.9) <0.001 <0.001 0.25 (-0.51 to 1.0) 0.51 0.89
mean_MLexc_mean -1.7 (-3.9 to 0.49) 0.13 0.17 2.9 (-2.0 to 7.8) 0.24 0.28 1.7 (-1.2 to 4.6) 0.26 0.35 2.0 (-7.0 to 11) 0.66 0.89
group_char
0.056 0.11
0.28 0.28
0.35 0.35
0.94 0.94
    H1000’s —

—

—

—

    H2000’s -0.29 (-0.68 to 0.10)

-0.52 (-2.1 to 1.0)

0.27 (-0.72 to 1.3)

0.06 (-1.0 to 1.1)

    H3000’s -0.46 (-0.84 to -0.08)

-1.2 (-2.7 to 0.27)

0.70 (-0.25 to 1.7)

0.17 (-0.84 to 1.2)

mean_MLexc_mean * group_char
0.51 0.51
0.17 0.28
0.31 0.35
0.66 0.89
    mean_MLexc_mean * H2000’s 0.62 (-2.2 to 3.4)

0.30 (-5.9 to 6.5)

1.2 (-2.5 to 4.9)

-2.7 (-14 to 9.0)

    mean_MLexc_mean * H3000’s 1.6 (-1.2 to 4.5)

5.1 (-1.3 to 12)

2.9 (-0.89 to 6.8)

-5.3 (-17 to 6.2)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.18 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0653, R2c: 0.8279

alpha_avg_power R2m: 0.0221, R2c: 0.9538

beta_avg_power R2m: 0.0632, R2c: 0.9634

theta_div_beta R2m: 0.0121, R2c: 0.0328

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.21 to 0.69) <0.001 0.001 3.0 (2.0 to 4.0) <0.001 <0.001 2.2 (1.5 to 2.8) <0.001 <0.001 0.57 (-0.15 to 1.3) 0.12 0.49
mean_StepDur -0.02 (-0.17 to 0.13) 0.78 0.78 0.47 (0.15 to 0.79) 0.004 0.009 0.19 (0.00 to 0.39) 0.051 0.068 -0.17 (-0.91 to 0.57) 0.65 0.96
group_char
0.32 0.64
0.27 0.27
0.51 0.51
0.96 0.96
    H1000’s —

—

—

—

    H2000’s -0.15 (-0.55 to 0.25)

-0.51 (-2.0 to 1.0)

0.22 (-0.77 to 1.2)

-0.17 (-1.4 to 1.1)

    H3000’s -0.30 (-0.69 to 0.09)

-1.2 (-2.7 to 0.26)

0.56 (-0.39 to 1.5)

-0.13 (-1.4 to 1.1)

mean_StepDur * group_char
0.70 0.78
0.10 0.13
0.018 0.036
0.95 0.96
    mean_StepDur * H2000’s -0.13 (-0.45 to 0.18)

0.15 (-0.52 to 0.83)

0.27 (-0.13 to 0.68)

-0.02 (-1.5 to 1.5)

    mean_StepDur * H3000’s -0.05 (-0.40 to 0.30)

0.84 (0.07 to 1.6)

0.64 (0.18 to 1.1)

-0.27 (-1.9 to 1.3)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0633, R2c: 0.8239

alpha_avg_power R2m: 0.0219, R2c: 0.9556

beta_avg_power R2m: 0.0634, R2c: 0.9636

theta_div_beta R2m: 0.0107, R2c: 0.0229

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.43 (0.21 to 0.66) <0.001 <0.001 3.2 (2.2 to 4.2) <0.001 <0.001 2.3 (1.7 to 2.9) <0.001 <0.001 0.46 (-0.05 to 0.97) 0.079 0.32
mean_StepDur_cov 0.00 (-0.02 to 0.02) 0.96 0.96 0.04 (0.00 to 0.08) 0.051 0.10 0.01 (-0.02 to 0.04) 0.43 0.53 -0.01 (-0.10 to 0.08) 0.85 0.98
group_char
0.11 0.22
0.27 0.27
0.53 0.53
0.98 0.98
    H1000’s —

—

—

—

    H2000’s -0.22 (-0.58 to 0.14)

-0.54 (-2.0 to 0.95)

0.22 (-0.74 to 1.2)

-0.08 (-0.95 to 0.79)

    H3000’s -0.38 (-0.75 to -0.02)

-1.2 (-2.6 to 0.26)

0.54 (-0.39 to 1.5)

-0.01 (-1.0 to 1.0)

mean_StepDur_cov * group_char
0.78 0.96
0.19 0.25
0.010 0.020
0.86 0.98
    mean_StepDur_cov * H2000’s -0.01 (-0.04 to 0.03)

0.01 (-0.06 to 0.09)

0.03 (-0.01 to 0.08)

-0.02 (-0.16 to 0.13)

    mean_StepDur_cov * H3000’s 0.01 (-0.03 to 0.05)

0.08 (-0.01 to 0.17)

0.08 (0.03 to 0.13)

-0.05 (-0.23 to 0.13)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.15 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0626, R2c: 0.8227

alpha_avg_power R2m: 0.0203, R2c: 0.9539

beta_avg_power R2m: 0.0632, R2c: 0.9624

theta_div_beta R2m: 0.0109, R2c: 0.0249

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.46 (0.23 to 0.70) <0.001 <0.001 3.3 (2.3 to 4.2) <0.001 <0.001 2.2 (1.6 to 2.9) <0.001 <0.001 0.57 (-0.03 to 1.2) 0.063 0.25
mean_UDexc_COV 0.00 (-0.01 to 0.01) 0.60 0.60 0.01 (-0.01 to 0.03) 0.20 0.27 0.01 (0.00 to 0.02) 0.19 0.25 -0.01 (-0.06 to 0.03) 0.58 0.85
group_char
0.11 0.22
0.28 0.28
0.43 0.43
0.85 0.85
    H1000’s —

—

—

—

    H2000’s -0.18 (-0.54 to 0.18)

-0.44 (-1.9 to 1.1)

0.33 (-0.63 to 1.3)

-0.26 (-1.2 to 0.66)

    H3000’s -0.38 (-0.74 to -0.02)

-1.2 (-2.6 to 0.27)

0.61 (-0.31 to 1.5)

-0.07 (-1.0 to 0.90)

mean_UDexc_COV * group_char
0.51 0.60
0.17 0.27
0.054 0.11
0.84 0.85
    mean_UDexc_COV * H2000’s -0.01 (-0.02 to 0.01)

0.00 (-0.03 to 0.03)

0.01 (-0.01 to 0.02)

0.01 (-0.06 to 0.07)

    mean_UDexc_COV * H3000’s 0.00 (-0.01 to 0.02)

0.03 (-0.01 to 0.06)

0.02 (0.00 to 0.04)

-0.01 (-0.08 to 0.05)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.13 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.55 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.064, R2c: 0.8248

alpha_avg_power R2m: 0.0195, R2c: 0.9526

beta_avg_power R2m: 0.0641, R2c: 0.9625

theta_div_beta R2m: 0.013, R2c: 0.0235

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.31 (0.06 to 0.56) 0.014 0.054 3.6 (2.6 to 4.6) <0.001 <0.001 2.5 (1.8 to 3.1) <0.001 <0.001 0.38 (-0.34 to 1.1) 0.30 0.71
mean_UDexc_mean 4.9 (-1.1 to 11) 0.11 0.22 -8.2 (-22 to 5.1) 0.22 0.30 -6.1 (-14 to 1.6) 0.12 0.12 1.4 (-27 to 29) 0.92 0.92
group_char
0.27 0.36
0.82 0.82
0.011 0.015
0.35 0.71
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.65 to 0.10)

-0.49 (-2.0 to 1.0)

0.44 (-0.52 to 1.4)

-0.70 (-1.8 to 0.37)

    H3000’s -0.24 (-0.61 to 0.12)

-0.27 (-1.7 to 1.2)

1.4 (0.47 to 2.3)

-0.61 (-1.6 to 0.39)

mean_UDexc_mean * group_char
0.59 0.59
0.057 0.11
0.002 0.004
0.58 0.77
    mean_UDexc_mean * H2000’s 0.77 (-7.9 to 9.4)

1.4 (-18 to 21)

-1.2 (-12 to 9.8)

21 (-19 to 62)

    mean_UDexc_mean * H3000’s -3.5 (-12 to 5.1)

-20 (-39 to -0.73)

-18 (-29 to -6.9)

14 (-25 to 53)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.09 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0668, R2c: 0.8274

alpha_avg_power R2m: 0.021, R2c: 0.9532

beta_avg_power R2m: 0.0683, R2c: 0.9645

theta_div_beta R2m: 0.0212, R2c: 0.0258

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.22 to 0.68) <0.001 <0.001 3.1 (2.1 to 4.0) <0.001 <0.001 2.2 (1.6 to 2.8) <0.001 <0.001 0.56 (-0.05 to 1.2) 0.070 0.28
mean_StanceDur -0.01 (-0.10 to 0.08) 0.77 0.77 0.29 (0.10 to 0.48) 0.002 0.005 0.12 (0.00 to 0.23) 0.048 0.064 -0.12 (-0.56 to 0.32) 0.61 0.93
group_char
0.25 0.51
0.33 0.33
0.39 0.39
0.90 0.93
    H1000’s —

—

—

—

    H2000’s -0.17 (-0.54 to 0.20)

-0.44 (-1.9 to 1.1)

0.29 (-0.68 to 1.3)

-0.23 (-1.3 to 0.81)

    H3000’s -0.30 (-0.66 to 0.06)

-1.1 (-2.5 to 0.35)

0.65 (-0.28 to 1.6)

-0.15 (-1.2 to 0.89)

mean_StanceDur * group_char
0.70 0.77
0.12 0.16
0.022 0.044
0.93 0.93
    mean_StanceDur * H2000’s -0.08 (-0.26 to 0.11)

0.04 (-0.35 to 0.43)

0.13 (-0.10 to 0.37)

0.04 (-0.85 to 0.92)

    mean_StanceDur * H3000’s -0.04 (-0.24 to 0.17)

0.47 (0.02 to 0.91)

0.37 (0.10 to 0.64)

-0.17 (-1.1 to 0.80)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.13 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0633, R2c: 0.8239

alpha_avg_power R2m: 0.0217, R2c: 0.9555

beta_avg_power R2m: 0.0632, R2c: 0.9633

theta_div_beta R2m: 0.0109, R2c: 0.022

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.21 to 0.69) <0.001 0.001 3.0 (2.0 to 4.0) <0.001 <0.001 2.2 (1.5 to 2.8) <0.001 <0.001 0.57 (-0.15 to 1.3) 0.12 0.49
mean_GaitCycleDur -0.01 (-0.09 to 0.06) 0.78 0.78 0.23 (0.07 to 0.39) 0.004 0.009 0.10 (0.00 to 0.19) 0.050 0.067 -0.09 (-0.46 to 0.29) 0.65 0.96
group_char
0.32 0.64
0.27 0.27
0.51 0.51
0.96 0.96
    H1000’s —

—

—

—

    H2000’s -0.15 (-0.55 to 0.25)

-0.51 (-2.0 to 1.0)

0.22 (-0.77 to 1.2)

-0.17 (-1.4 to 1.1)

    H3000’s -0.30 (-0.69 to 0.09)

-1.2 (-2.7 to 0.26)

0.56 (-0.39 to 1.5)

-0.13 (-1.4 to 1.1)

mean_GaitCycleDur * group_char
0.70 0.78
0.10 0.13
0.017 0.035
0.95 0.96
    mean_GaitCycleDur * H2000’s -0.07 (-0.22 to 0.09)

0.08 (-0.26 to 0.41)

0.14 (-0.07 to 0.34)

-0.01 (-0.76 to 0.73)

    mean_GaitCycleDur * H3000’s -0.03 (-0.20 to 0.15)

0.42 (0.04 to 0.80)

0.32 (0.09 to 0.55)

-0.13 (-0.93 to 0.66)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8238

alpha_avg_power R2m: 0.022, R2c: 0.9556

beta_avg_power R2m: 0.0635, R2c: 0.9636

theta_div_beta R2m: 0.0107, R2c: 0.0229

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.14 to 0.60) 0.002 0.006 3.6 (2.6 to 4.6) <0.001 <0.001 2.4 (1.8 to 3.1) <0.001 <0.001 0.36 (-0.22 to 0.94) 0.23 0.73
mean_PeakUpDownVel_mean 0.26 (-0.18 to 0.70) 0.25 0.33 -0.67 (-1.6 to 0.30) 0.17 0.23 -0.46 (-1.0 to 0.10) 0.11 0.11 0.25 (-2.0 to 2.5) 0.83 0.83
group_char
0.13 0.26
0.83 0.83
0.017 0.023
0.37 0.73
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.62 to 0.08)

-0.39 (-1.9 to 1.1)

0.49 (-0.46 to 1.4)

-0.54 (-1.4 to 0.34)

    H3000’s -0.32 (-0.65 to 0.02)

-0.38 (-1.8 to 1.0)

1.3 (0.41 to 2.2)

-0.52 (-1.4 to 0.31)

mean_PeakUpDownVel_mean * group_char
0.93 0.93
0.12 0.23
0.004 0.007
0.67 0.83
    mean_PeakUpDownVel_mean * H2000’s 0.07 (-0.58 to 0.72)

-0.22 (-1.6 to 1.2)

-0.29 (-1.1 to 0.53)

1.4 (-1.8 to 4.6)

    mean_PeakUpDownVel_mean * H3000’s -0.06 (-0.70 to 0.58)

-1.4 (-2.8 to 0.01)

-1.3 (-2.1 to -0.52)

0.94 (-2.1 to 4.0)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.09 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0651, R2c: 0.8252

alpha_avg_power R2m: 0.0211, R2c: 0.954

beta_avg_power R2m: 0.0679, R2c: 0.9654

theta_div_beta R2m: 0.0202, R2c: 0.0253

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.09 to 0.81) 0.015 0.061 3.8 (2.8 to 4.9) <0.001 <0.001 2.3 (1.8 to 2.9) <0.001 <0.001 0.61 (-0.93 to 2.1) 0.44 0.68
mean_APexc_COV 0.00 (-0.01 to 0.02) 0.54 0.63 0.01 (-0.03 to 0.04) 0.68 0.75 0.01 (-0.01 to 0.02) 0.53 0.53 -0.02 (-0.11 to 0.07) 0.65 0.68
group_char
0.47 0.63
0.75 0.75
0.40 0.53
0.62 0.68
    H1000’s —

—

—

—

    H2000’s -0.18 (-0.76 to 0.39)

-0.18 (-1.9 to 1.5)

0.47 (-0.41 to 1.3)

-1.2 (-3.6 to 1.2)

    H3000’s 0.20 (-0.36 to 0.76)

-0.62 (-2.3 to 1.0)

-0.15 (-1.0 to 0.70)

-0.56 (-2.8 to 1.7)

mean_APexc_COV * group_char
0.63 0.63
0.75 0.75
0.092 0.18
0.68 0.68
    mean_APexc_COV * H2000’s 0.00 (-0.02 to 0.02)

-0.01 (-0.06 to 0.04)

-0.01 (-0.03 to 0.01)

0.05 (-0.07 to 0.18)

    mean_APexc_COV * H3000’s -0.01 (-0.02 to 0.01)

0.01 (-0.04 to 0.05)

0.01 (-0.01 to 0.03)

0.04 (-0.07 to 0.16)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0151, R2c: 0.9331

alpha_avg_power R2m: 0.006, R2c: 0.9487

beta_avg_power R2m: 0.0116, R2c: 0.9518

theta_div_beta R2m: 0.0116, R2c: 0.0116

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.26 to 0.93) <0.001 0.002 3.9 (2.9 to 4.9) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.31 (-1.0 to 1.6) 0.65 0.86
mean_APexc_mean -1.5 (-4.3 to 1.3) 0.30 0.60 1.4 (-5.9 to 8.8) 0.70 0.70 1.5 (-2.2 to 5.3) 0.42 0.56 -0.82 (-24 to 22) 0.94 0.94
group_char
0.54 0.72
0.61 0.70
0.96 0.96
0.16 0.32
    H1000’s —

—

—

—

    H2000’s -0.22 (-0.75 to 0.30)

-0.76 (-2.3 to 0.80)

0.06 (-0.76 to 0.88)

1.8 (-0.13 to 3.7)

    H3000’s 0.08 (-0.43 to 0.59)

-0.51 (-2.0 to 1.0)

0.12 (-0.68 to 0.92)

0.43 (-1.3 to 2.2)

mean_APexc_mean * group_char
0.87 0.87
0.34 0.67
0.24 0.47
0.054 0.21
    mean_APexc_mean * H2000’s 0.08 (-4.6 to 4.8)

9.3 (-3.1 to 22)

5.3 (-0.98 to 12)

-43 (-80 to -6.1)

    mean_APexc_mean * H3000’s -1.2 (-6.2 to 3.8)

2.8 (-10 to 16)

3.1 (-3.6 to 9.7)

-3.4 (-39 to 32)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.0 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.016, R2c: 0.9333

alpha_avg_power R2m: 0.0069, R2c: 0.9504

beta_avg_power R2m: 0.0112, R2c: 0.9536

theta_div_beta R2m: 0.0376, R2c: 0.0376

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.46 (0.12 to 0.80) 0.009 0.036 3.9 (2.9 to 4.9) <0.001 <0.001 2.4 (1.8 to 2.9) <0.001 <0.001 0.31 (-0.77 to 1.4) 0.57 0.76
mean_MLexc_COV 0.00 (-0.01 to 0.02) 0.57 0.57 0.00 (-0.03 to 0.04) 0.83 0.97 0.00 (-0.02 to 0.02) 0.91 0.91 0.00 (-0.07 to 0.07) 0.93 0.93
group_char
0.20 0.26
0.97 0.97
0.42 0.56
0.29 0.76
    H1000’s —

—

—

—

    H2000’s -0.38 (-0.91 to 0.15)

-0.17 (-1.7 to 1.4)

0.53 (-0.30 to 1.4)

-1.2 (-2.9 to 0.53)

    H3000’s 0.10 (-0.42 to 0.63)

-0.13 (-1.7 to 1.4)

0.37 (-0.44 to 1.2)

0.20 (-1.6 to 2.0)

mean_MLexc_COV * group_char
0.15 0.26
0.69 0.97
0.35 0.56
0.42 0.76
    mean_MLexc_COV * H2000’s 0.01 (0.00 to 0.03)

-0.01 (-0.06 to 0.03)

-0.02 (-0.04 to 0.01)

0.07 (-0.04 to 0.18)

    mean_MLexc_COV * H3000’s 0.00 (-0.02 to 0.01)

-0.02 (-0.07 to 0.03)

-0.01 (-0.03 to 0.01)

0.01 (-0.11 to 0.12)

subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0177, R2c: 0.9345

alpha_avg_power R2m: 0.0059, R2c: 0.9491

beta_avg_power R2m: 0.01, R2c: 0.9519

theta_div_beta R2m: 0.0157, R2c: 0.0157

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.62 (0.29 to 0.94) <0.001 0.001 3.9 (2.9 to 4.9) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.31 (-0.82 to 1.4) 0.59 0.79
mean_MLexc_mean -1.3 (-3.0 to 0.44) 0.14 0.29 0.18 (-4.5 to 4.8) 0.94 0.94 0.92 (-1.4 to 3.3) 0.44 0.69 -0.51 (-14 to 13) 0.94 0.94
group_char
0.69 0.89
0.65 0.87
0.94 0.94
0.10 0.19
    H1000’s —

—

—

—

    H2000’s -0.14 (-0.65 to 0.36)

-0.63 (-2.2 to 0.90)

0.14 (-0.67 to 0.95)

1.4 (-0.20 to 3.0)

    H3000’s 0.09 (-0.41 to 0.59)

-0.57 (-2.1 to 0.93)

0.08 (-0.71 to 0.88)

-0.22 (-1.8 to 1.3)

mean_MLexc_mean * group_char
0.89 0.89
0.61 0.87
0.52 0.69
0.017 0.069
    mean_MLexc_mean * H2000’s -0.55 (-2.8 to 1.7)

3.1 (-3.0 to 9.1)

1.6 (-1.5 to 4.6)

-18 (-36 to 0.07)

    mean_MLexc_mean * H3000’s -0.42 (-2.8 to 2.0)

1.8 (-4.7 to 8.4)

1.7 (-1.6 to 5.0)

6.3 (-11 to 24)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.0 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0187, R2c: 0.9363

alpha_avg_power R2m: 0.0063, R2c: 0.9499

beta_avg_power R2m: 0.0113, R2c: 0.9546

theta_div_beta R2m: 0.0398, R2c: 0.0398

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.61 (0.29 to 0.93) <0.001 <0.001 3.9 (2.9 to 4.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.28 (-0.82 to 1.4) 0.62 0.83
mean_StepDur -0.11 (-0.23 to 0.02) 0.10 0.20 0.07 (-0.26 to 0.41) 0.67 0.67 0.09 (-0.08 to 0.26) 0.31 0.41 -0.01 (-1.1 to 1.1) 0.98 0.98
group_char
0.52 0.52
0.56 0.67
0.98 0.98
0.061 0.12
    H1000’s —

—

—

—

    H2000’s -0.15 (-0.67 to 0.37)

-0.69 (-2.2 to 0.86)

0.07 (-0.74 to 0.88)

2.2 (0.30 to 4.2)

    H3000’s 0.18 (-0.33 to 0.70)

-0.72 (-2.3 to 0.82)

0.01 (-0.79 to 0.82)

0.05 (-1.9 to 2.0)

mean_StepDur * group_char
0.36 0.48
0.31 0.63
0.12 0.24
0.020 0.079
    mean_StepDur * H2000’s -0.09 (-0.35 to 0.17)

0.45 (-0.25 to 1.2)

0.30 (-0.05 to 0.66)

-3.2 (-5.5 to -0.83)

    mean_StepDur * H3000’s -0.22 (-0.55 to 0.10)

0.47 (-0.40 to 1.3)

0.34 (-0.10 to 0.78)

0.36 (-2.2 to 3.0)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.0 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9357

alpha_avg_power R2m: 0.0066, R2c: 0.95

beta_avg_power R2m: 0.0109, R2c: 0.9537

theta_div_beta R2m: 0.0394, R2c: 0.0394

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.58 (0.27 to 0.90) <0.001 <0.001 4.0 (3.1 to 5.0) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.32 (-0.47 to 1.1) 0.43 0.58
mean_StepDur_cov -0.01 (-0.03 to 0.00) 0.087 0.17 -0.02 (-0.06 to 0.03) 0.49 0.66 0.01 (-0.01 to 0.03) 0.41 0.76 -0.01 (-0.15 to 0.13) 0.89 0.89
group_char
0.43 0.57
0.66 0.66
0.86 0.86
0.38 0.58
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.72 to 0.26)

-0.50 (-2.0 to 0.99)

0.22 (-0.56 to 1.0)

0.06 (-1.2 to 1.3)

    H3000’s 0.12 (-0.37 to 0.62)

-0.64 (-2.1 to 0.84)

0.10 (-0.68 to 0.88)

-1.0 (-2.6 to 0.53)

mean_StepDur_cov * group_char
0.61 0.61
0.58 0.66
0.57 0.76
0.12 0.49
    mean_StepDur_cov * H2000’s 0.01 (-0.02 to 0.03)

0.03 (-0.04 to 0.10)

0.01 (-0.02 to 0.05)

-0.04 (-0.25 to 0.17)

    mean_StepDur_cov * H3000’s -0.01 (-0.05 to 0.02)

0.04 (-0.05 to 0.13)

0.02 (-0.02 to 0.07)

0.25 (-0.02 to 0.53)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0167, R2c: 0.9352

alpha_avg_power R2m: 0.0058, R2c: 0.9489

beta_avg_power R2m: 0.0099, R2c: 0.9522

theta_div_beta R2m: 0.0222, R2c: 0.0222

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.58 (0.27 to 0.89) <0.001 0.001 4.0 (3.0 to 4.9) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.31 (-0.61 to 1.2) 0.51 0.91
mean_UDexc_COV -0.01 (-0.01 to 0.00) 0.17 0.33 0.00 (-0.02 to 0.02) 0.71 0.71 0.00 (-0.01 to 0.01) 0.46 0.61 0.00 (-0.07 to 0.06) 0.91 0.91
group_char
0.52 0.69
0.58 0.71
0.91 0.91
0.84 0.91
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.70 to 0.30)

-0.63 (-2.1 to 0.87)

0.17 (-0.62 to 0.96)

0.39 (-1.1 to 1.9)

    H3000’s 0.11 (-0.38 to 0.60)

-0.68 (-2.2 to 0.79)

0.02 (-0.75 to 0.80)

0.38 (-1.2 to 1.9)

mean_UDexc_COV * group_char
0.85 0.85
0.36 0.71
0.24 0.49
0.73 0.91
    mean_UDexc_COV * H2000’s 0.00 (-0.01 to 0.01)

0.02 (-0.01 to 0.05)

0.01 (-0.01 to 0.02)

-0.04 (-0.14 to 0.06)

    mean_UDexc_COV * H3000’s 0.00 (-0.02 to 0.01)

0.02 (-0.01 to 0.05)

0.01 (0.00 to 0.03)

-0.01 (-0.11 to 0.10)

subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0165, R2c: 0.9341

alpha_avg_power R2m: 0.0062, R2c: 0.9496

beta_avg_power R2m: 0.011, R2c: 0.9536

theta_div_beta R2m: 0.0118, R2c: 0.0118

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.05 to 0.69) 0.023 0.047 3.9 (2.9 to 4.9) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001 0.28 (-0.81 to 1.4) 0.62 0.82
mean_UDexc_mean 5.9 (0.89 to 11) 0.021 0.047 1.5 (-12 to 15) 0.83 0.99 -1.4 (-8.2 to 5.4) 0.69 0.69 -0.53 (-44 to 43) 0.98 0.98
group_char
0.56 0.75
0.99 0.99
0.35 0.46
0.10 0.40
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.73 to 0.27)

-0.06 (-1.6 to 1.5)

0.46 (-0.33 to 1.2)

-1.3 (-3.0 to 0.35)

    H3000’s 0.04 (-0.45 to 0.54)

-0.12 (-1.6 to 1.4)

0.51 (-0.26 to 1.3)

0.51 (-1.1 to 2.1)

mean_UDexc_mean * group_char
0.96 0.96
0.38 0.76
0.089 0.18
0.20 0.40
    mean_UDexc_mean * H2000’s 1.1 (-6.4 to 8.5)

-13 (-33 to 7.7)

-7.1 (-17 to 3.1)

48 (-17 to 112)

    mean_UDexc_mean * H3000’s 0.18 (-7.3 to 7.7)

-12 (-32 to 8.4)

-11 (-21 to -0.98)

-8.4 (-70 to 53)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0192, R2c: 0.937

alpha_avg_power R2m: 0.0065, R2c: 0.9495

beta_avg_power R2m: 0.0125, R2c: 0.9528

theta_div_beta R2m: 0.0207, R2c: 0.0207

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.28 to 0.90) <0.001 <0.001 3.9 (2.9 to 4.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.28 (-0.63 to 1.2) 0.54 0.73
mean_StanceDur -0.07 (-0.14 to 0.01) 0.085 0.17 0.05 (-0.14 to 0.25) 0.60 0.63 0.06 (-0.04 to 0.16) 0.26 0.34 -0.01 (-0.69 to 0.66) 0.97 0.97
group_char
0.49 0.49
0.63 0.63
0.95 0.95
0.055 0.11
    H1000’s —

—

—

—

    H2000’s -0.17 (-0.67 to 0.33)

-0.61 (-2.1 to 0.91)

0.13 (-0.67 to 0.92)

1.9 (0.29 to 3.5)

    H3000’s 0.16 (-0.33 to 0.66)

-0.62 (-2.1 to 0.86)

0.06 (-0.72 to 0.84)

0.09 (-1.6 to 1.7)

mean_StanceDur * group_char
0.35 0.47
0.38 0.63
0.14 0.28
0.012 0.048
    mean_StanceDur * H2000’s -0.04 (-0.20 to 0.11)

0.25 (-0.16 to 0.66)

0.17 (-0.04 to 0.38)

-2.0 (-3.4 to -0.61)

    mean_StanceDur * H3000’s -0.14 (-0.32 to 0.05)

0.24 (-0.26 to 0.74)

0.19 (-0.06 to 0.45)

0.23 (-1.3 to 1.8)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.0 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0175, R2c: 0.9358

alpha_avg_power R2m: 0.0065, R2c: 0.9499

beta_avg_power R2m: 0.0108, R2c: 0.9537

theta_div_beta R2m: 0.0437, R2c: 0.0437

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.61 (0.29 to 0.93) <0.001 <0.001 3.9 (2.9 to 4.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.28 (-0.82 to 1.4) 0.62 0.83
mean_GaitCycleDur -0.05 (-0.12 to 0.01) 0.10 0.20 0.04 (-0.13 to 0.20) 0.67 0.67 0.04 (-0.04 to 0.13) 0.31 0.41 -0.01 (-0.57 to 0.56) 0.98 0.98
group_char
0.51 0.51
0.56 0.67
0.98 0.98
0.063 0.13
    H1000’s —

—

—

—

    H2000’s -0.15 (-0.67 to 0.37)

-0.69 (-2.2 to 0.86)

0.07 (-0.74 to 0.89)

2.2 (0.28 to 4.2)

    H3000’s 0.19 (-0.33 to 0.70)

-0.72 (-2.3 to 0.81)

0.01 (-0.79 to 0.82)

0.05 (-1.9 to 2.0)

mean_GaitCycleDur * group_char
0.36 0.48
0.31 0.63
0.12 0.24
0.020 0.082
    mean_GaitCycleDur * H2000’s -0.05 (-0.18 to 0.09)

0.22 (-0.12 to 0.57)

0.15 (-0.03 to 0.33)

-1.6 (-2.7 to -0.41)

    mean_GaitCycleDur * H3000’s -0.11 (-0.27 to 0.05)

0.23 (-0.20 to 0.67)

0.17 (-0.05 to 0.39)

0.18 (-1.1 to 1.5)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.0 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0176, R2c: 0.9357

alpha_avg_power R2m: 0.0066, R2c: 0.95

beta_avg_power R2m: 0.0109, R2c: 0.9537

theta_div_beta R2m: 0.0391, R2c: 0.0391

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.42 (0.11 to 0.73) 0.008 0.034 3.9 (3.0 to 4.9) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001 0.26 (-0.62 to 1.1) 0.56 0.74
mean_PeakUpDownVel_mean 0.39 (0.02 to 0.77) 0.039 0.077 0.05 (-0.96 to 1.1) 0.93 0.95 -0.09 (-0.60 to 0.42) 0.72 0.72 0.01 (-3.4 to 3.4)
0.99
0.99
group_char
0.55 0.73
0.95 0.95
0.40 0.53
0.035 0.14
    H1000’s —

—

—

—

    H2000’s -0.24 (-0.73 to 0.25)

-0.08 (-1.6 to 1.4)

0.45 (-0.32 to 1.2)

-1.3 (-2.7 to 0.04)

    H3000’s 0.02 (-0.46 to 0.50)

-0.22 (-1.7 to 1.2)

0.44 (-0.32 to 1.2)

0.55 (-0.81 to 1.9)

mean_PeakUpDownVel_mean * group_char
0.92 0.92
0.33 0.67
0.093 0.19
0.077 0.15
    mean_PeakUpDownVel_mean * H2000’s 0.11 (-0.44 to 0.66)

-1.1 (-2.6 to 0.39)

-0.64 (-1.4 to 0.11)

4.5 (-0.43 to 9.5)

    mean_PeakUpDownVel_mean * H3000’s 0.07 (-0.48 to 0.63)

-0.72 (-2.2 to 0.77)

-0.77 (-1.5 to -0.02)

-0.90 (-5.8 to 4.0)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.29 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0186, R2c: 0.937

alpha_avg_power R2m: 0.0066, R2c: 0.9497

beta_avg_power R2m: 0.0119, R2c: 0.9534

theta_div_beta R2m: 0.0288, R2c: 0.0288

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.3 (0.82 to 1.8) <0.001 <0.001 1.2 (0.39 to 1.9) 0.003 0.013 0.70 (0.17 to 1.2) 0.010 0.039 4.0 (-7.3 to 15) 0.49 0.75
mean_APexc_COV -0.01 (-0.03 to 0.01) 0.44 0.58 0.01 (-0.03 to 0.04) 0.70 0.88 0.00 (-0.01 to 0.02) 0.77 0.77 -0.11 (-0.80 to 0.58) 0.75 0.75
group_char
0.19 0.39
0.88 0.88
0.088 0.18
0.67 0.75
    H1000’s —

—

—

—

    H2000’s -0.58 (-1.3 to 0.15)

0.30 (-0.90 to 1.5)

0.82 (0.03 to 1.6)

3.3 (-14 to 20)

    H3000’s -0.55 (-1.3 to 0.15)

0.08 (-1.1 to 1.2)

0.66 (-0.11 to 1.4)

-4.4 (-20 to 11)

mean_APexc_COV * group_char
0.95 0.95
0.32 0.63
0.32 0.43
0.49 0.75
    mean_APexc_COV * H2000’s 0.00 (-0.03 to 0.02)

-0.02 (-0.06 to 0.03)

-0.01 (-0.03 to 0.01)

-0.23 (-1.1 to 0.66)

    mean_APexc_COV * H3000’s 0.00 (-0.02 to 0.02)

0.01 (-0.03 to 0.05)

0.00 (-0.02 to 0.02)

0.19 (-0.61 to 0.98)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.30 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1241, R2c: 0.9008

alpha_avg_power R2m: 0.0357, R2c: 0.8606

beta_avg_power R2m: 0.0887, R2c: 0.95

theta_div_beta R2m: 0.0136, R2c: 0.0136

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.6 (1.1 to 2.0) <0.001 <0.001 1.0 (0.36 to 1.7) 0.003 0.012 0.60 (0.11 to 1.1) 0.016 0.031 2.7 (-7.5 to 13) 0.61 0.81
mean_APexc_mean -7.3 (-12 to -2.8) 0.001 0.003 4.1 (-3.7 to 12) 0.30 0.30 2.4 (-1.2 to 6.1) 0.19 0.26 -9.0 (-191 to 173) 0.92 0.92
group_char
0.008 0.010
0.28 0.30
0.26 0.26
0.046 0.16
    H1000’s —

—

—

—

    H2000’s -0.92 (-1.6 to -0.27)

-0.65 (-1.7 to 0.38)

0.13 (-0.59 to 0.85)

-15 (-30 to -0.15)

    H3000’s -0.82 (-1.4 to -0.20)

0.15 (-0.83 to 1.1)

0.57 (-0.13 to 1.3)

1.1 (-12 to 14)

mean_APexc_mean * group_char
0.74 0.74
0.070 0.14
0.003 0.012
0.079 0.16
    mean_APexc_mean * H2000’s 3.1 (-4.9 to 11)

15 (0.91 to 29)

11 (4.3 to 18)

289 (-16 to 593)

    mean_APexc_mean * H3000’s 1.4 (-5.9 to 8.8)

11 (-2.2 to 23)

6.2 (0.21 to 12)

-47 (-303 to 208)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.2 (NA to NA)

1.0 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.50 (NA to NA)

0.23 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1281, R2c: 0.9088

alpha_avg_power R2m: 0.0509, R2c: 0.8691

beta_avg_power R2m: 0.1012, R2c: 0.957

theta_div_beta R2m: 0.0291, R2c: 0.0291

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.80 (0.33 to 1.3) <0.001 0.003 1.2 (0.47 to 2.0) 0.001 0.003 0.71 (0.19 to 1.2) 0.007 0.030 3.7 (-5.7 to 13) 0.44 0.84
mean_MLexc_COV 0.03 (0.01 to 0.05) 0.012 0.024 0.00 (-0.03 to 0.04) 0.82 0.82 0.00 (-0.02 to 0.02) 0.84 0.84 -0.11 (-0.75 to 0.53) 0.74 0.84
group_char
0.34 0.34
0.56 0.75
0.051 0.10
0.84 0.84
    H1000’s —

—

—

—

    H2000’s -0.38 (-1.0 to 0.25)

0.25 (-0.75 to 1.2)

0.83 (0.11 to 1.6)

-0.89 (-14 to 12)

    H3000’s -0.45 (-1.1 to 0.20)

-0.30 (-1.3 to 0.75)

0.74 (-0.01 to 1.5)

-4.1 (-18 to 10)

mean_MLexc_COV * group_char
0.21 0.28
0.001 0.003
0.080 0.11
0.73 0.84
    mean_MLexc_COV * H2000’s -0.02 (-0.05 to 0.00)

-0.02 (-0.06 to 0.02)

-0.02 (-0.04 to 0.00)

-0.12 (-0.98 to 0.74)

    mean_MLexc_COV * H3000’s -0.02 (-0.04 to 0.01)

0.05 (0.01 to 0.10)

0.00 (-0.02 to 0.03)

0.24 (-0.69 to 1.2)

subj_char.sd__(Intercept) 0.82 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.51 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1291, R2c: 0.9013

alpha_avg_power R2m: 0.044, R2c: 0.8667

beta_avg_power R2m: 0.0897, R2c: 0.9511

theta_div_beta R2m: 0.0104, R2c: 0.0104

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.6 (1.2 to 2.0) <0.001 <0.001 1.2 (0.49 to 1.8) <0.001 0.003 0.59 (0.11 to 1.1) 0.017 0.068 3.1 (-5.7 to 12) 0.49 0.66
mean_MLexc_mean -5.2 (-7.8 to -2.6) <0.001 <0.001 1.2 (-3.6 to 6.0) 0.61 0.61 1.7 (-0.53 to 4.0) 0.13 0.19 -11 (-114 to 92) 0.83 0.83
group_char
0.003 0.003
0.34 0.61
0.14 0.19
0.22 0.66
    H1000’s —

—

—

—

    H2000’s -0.99 (-1.6 to -0.40)

-0.33 (-1.3 to 0.61)

0.43 (-0.27 to 1.1)

-8.8 (-20 to 2.6)

    H3000’s -0.78 (-1.4 to -0.18)

0.38 (-0.58 to 1.3)

0.70 (0.00 to 1.4)

-1.0 (-12 to 10)

mean_MLexc_mean * group_char
0.067 0.067
0.60 0.61
0.56 0.56
0.40 0.66
    mean_MLexc_mean * H2000’s 3.7 (0.47 to 6.9)

3.0 (-2.9 to 9.0)

1.5 (-1.3 to 4.3)

71 (-56 to 197)

    mean_MLexc_mean * H3000’s 1.6 (-2.0 to 5.1)

1.6 (-4.9 to 8.1)

0.99 (-2.1 to 4.0)

5.4 (-126 to 137)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1349, R2c: 0.9131

alpha_avg_power R2m: 0.0387, R2c: 0.8615

beta_avg_power R2m: 0.095, R2c: 0.9553

theta_div_beta R2m: 0.0174, R2c: 0.0174

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.9) <0.001 <0.001 1.1 (0.46 to 1.7) <0.001 0.003 0.61 (0.13 to 1.1) 0.012 0.024 1.8 (-6.5 to 10) 0.67 0.89
mean_StepDur -0.41 (-0.60 to -0.22) <0.001 <0.001 0.19 (-0.16 to 0.54) 0.30 0.40 0.14 (-0.02 to 0.30) 0.093 0.12 0.42 (-8.2 to 9.1) 0.92 0.92
group_char
0.015 0.020
0.56 0.56
0.43 0.43
0.18 0.56
    H1000’s —

—

—

—

    H2000’s -0.89 (-1.5 to -0.29)

-0.46 (-1.4 to 0.51)

0.24 (-0.46 to 0.95)

-11 (-25 to 2.3)

    H3000’s -0.47 (-1.1 to 0.17)

0.06 (-0.99 to 1.1)

0.48 (-0.25 to 1.2)

2.2 (-13 to 17)

mean_StepDur * group_char
0.12 0.12
0.11 0.22
0.003 0.013
0.28 0.56
    mean_StepDur * H2000’s 0.17 (-0.20 to 0.54)

0.59 (-0.10 to 1.3)

0.48 (0.16 to 0.80)

12 (-4.5 to 28)

    mean_StepDur * H3000’s -0.45 (-0.98 to 0.08)

0.77 (-0.21 to 1.7)

0.52 (0.06 to 0.97)

-4.1 (-24 to 16)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1334, R2c: 0.9167

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0199, R2c: 0.0199

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.8) <0.001 <0.001 1.2 (0.55 to 1.8) <0.001 <0.001 0.63 (0.15 to 1.1) 0.009 0.037 2.9 (-3.5 to 9.3) 0.37 0.49
mean_StepDur_cov -0.06 (-0.09 to -0.03) <0.001 <0.001 0.02 (-0.03 to 0.07) 0.45 0.58 0.02 (0.00 to 0.05) 0.10 0.13 -0.14 (-1.3 to 0.99) 0.81 0.81
group_char
0.010 0.013
0.32 0.58
0.077 0.13
0.13 0.48
    H1000’s —

—

—

—

    H2000’s -0.83 (-1.4 to -0.25)

-0.30 (-1.2 to 0.65)

0.47 (-0.23 to 1.2)

-12 (-23 to -0.34)

    H3000’s -0.70 (-1.3 to -0.11)

0.47 (-0.47 to 1.4)

0.80 (0.10 to 1.5)

-3.0 (-14 to 7.9)

mean_StepDur_cov * group_char
0.60 0.60
0.58 0.58
0.53 0.53
0.24 0.48
    mean_StepDur_cov * H2000’s 0.03 (-0.03 to 0.08)

0.05 (-0.05 to 0.14)

0.02 (-0.02 to 0.07)

1.8 (-0.28 to 3.8)

    mean_StepDur_cov * H3000’s 0.01 (-0.03 to 0.06)

0.00 (-0.08 to 0.09)

-0.01 (-0.05 to 0.04)

0.44 (-1.4 to 2.3)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1311, R2c: 0.9112

alpha_avg_power R2m: 0.0345, R2c: 0.8628

beta_avg_power R2m: 0.0899, R2c: 0.9518

theta_div_beta R2m: 0.0221, R2c: 0.0221

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.9) <0.001 <0.001 1.2 (0.60 to 1.8) <0.001 <0.001 0.66 (0.18 to 1.1) 0.007 0.027 3.4 (-3.7 to 10) 0.35 0.86
mean_UDexc_COV -0.02 (-0.04 to -0.01) <0.001 <0.001 0.00 (-0.02 to 0.03) 0.76 0.85 0.01 (-0.01 to 0.02) 0.29 0.39 -0.10 (-0.62 to 0.43) 0.72 0.86
group_char
0.009 0.012
0.56 0.85
0.12 0.25
0.62 0.86
    H1000’s —

—

—

—

    H2000’s -0.82 (-1.4 to -0.25)

-0.14 (-1.1 to 0.77)

0.45 (-0.25 to 1.1)

-5.2 (-16 to 5.4)

    H3000’s -0.70 (-1.3 to -0.12)

0.37 (-0.56 to 1.3)

0.72 (0.02 to 1.4)

-1.3 (-13 to 9.9)

mean_UDexc_COV * group_char
0.52 0.52
0.85 0.85
0.49 0.49
0.86 0.86
    mean_UDexc_COV * H2000’s 0.01 (-0.01 to 0.03)

0.01 (-0.03 to 0.04)

0.01 (-0.01 to 0.03)

0.21 (-0.55 to 0.97)

    mean_UDexc_COV * H3000’s 0.01 (-0.01 to 0.02)

0.01 (-0.03 to 0.04)

0.00 (-0.01 to 0.02)

0.06 (-0.71 to 0.84)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0327, R2c: 0.8612

beta_avg_power R2m: 0.0893, R2c: 0.953

theta_div_beta R2m: 0.008, R2c: 0.008

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.81 (0.42 to 1.2) <0.001 <0.001 1.2 (0.54 to 1.8) <0.001 0.001 0.77 (0.29 to 1.3) 0.002 0.007 2.3 (-5.7 to 10) 0.57 0.80
mean_UDexc_mean 15 (7.7 to 22) <0.001 <0.001 3.8 (-10 to 18) 0.59 0.59 -1.5 (-7.9 to 5.0) 0.65 0.65 -3.6 (-318 to 311) 0.98 0.98
group_char
0.070 0.093
0.39 0.53
0.017 0.034
0.39 0.80
    H1000’s —

—

—

—

    H2000’s -0.56 (-1.1 to 0.02)

0.27 (-0.65 to 1.2)

0.81 (0.12 to 1.5)

-6.3 (-17 to 4.6)

    H3000’s -0.61 (-1.2 to -0.03)

0.66 (-0.28 to 1.6)

0.92 (0.22 to 1.6)

0.57 (-11 to 12)

mean_UDexc_mean * group_char
0.45 0.45
0.40 0.53
0.11 0.14
0.60 0.80
    mean_UDexc_mean * H2000’s -6.4 (-16 to 3.6)

-13 (-32 to 5.8)

-9.6 (-18 to -0.70)

157 (-269 to 583)

    mean_UDexc_mean * H3000’s -3.0 (-13 to 7.4)

-6.2 (-26 to 13)

-5.4 (-15 to 3.9)

-45 (-472 to 383)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.136, R2c: 0.9148

alpha_avg_power R2m: 0.0331, R2c: 0.8616

beta_avg_power R2m: 0.0919, R2c: 0.9539

theta_div_beta R2m: 0.0118, R2c: 0.0118

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.9) <0.001 <0.001 1.1 (0.51 to 1.7) <0.001 0.001 0.63 (0.16 to 1.1) 0.009 0.017 1.9 (-5.0 to 8.8) 0.59 0.79
mean_StanceDur -0.24 (-0.35 to -0.13) <0.001 <0.001 0.12 (-0.09 to 0.33) 0.26 0.35 0.09 (-0.01 to 0.18) 0.079 0.11 0.25 (-4.9 to 5.4) 0.92 0.92
group_char
0.013 0.018
0.63 0.63
0.28 0.28
0.15 0.51
    H1000’s —

—

—

—

    H2000’s -0.85 (-1.4 to -0.27)

-0.34 (-1.3 to 0.58)

0.33 (-0.36 to 1.0)

-9.6 (-21 to 1.7)

    H3000’s -0.56 (-1.2 to 0.04)

0.13 (-0.83 to 1.1)

0.56 (-0.14 to 1.3)

2.4 (-10 to 15)

mean_StanceDur * group_char
0.23 0.23
0.12 0.23
0.007 0.017
0.25 0.51
    mean_StanceDur * H2000’s 0.09 (-0.13 to 0.31)

0.31 (-0.09 to 0.72)

0.26 (0.07 to 0.46)

7.1 (-2.7 to 17)

    mean_StanceDur * H3000’s -0.21 (-0.51 to 0.10)

0.48 (-0.08 to 1.0)

0.28 (0.02 to 0.54)

-3.3 (-16 to 9.0)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9145

alpha_avg_power R2m: 0.0404, R2c: 0.8668

beta_avg_power R2m: 0.0952, R2c: 0.9561

theta_div_beta R2m: 0.0203, R2c: 0.0203

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.9) <0.001 <0.001 1.1 (0.46 to 1.7) <0.001 0.003 0.61 (0.13 to 1.1) 0.012 0.024 1.8 (-6.5 to 10) 0.67 0.89
mean_GaitCycleDur -0.21 (-0.30 to -0.11) <0.001 <0.001 0.09 (-0.08 to 0.27) 0.30 0.39 0.07 (-0.01 to 0.15) 0.092 0.12 0.21 (-4.1 to 4.5) 0.92 0.92
group_char
0.015 0.020
0.56 0.56
0.43 0.43
0.18 0.56
    H1000’s —

—

—

—

    H2000’s -0.89 (-1.5 to -0.29)

-0.46 (-1.4 to 0.51)

0.24 (-0.46 to 0.95)

-11 (-25 to 2.3)

    H3000’s -0.48 (-1.1 to 0.17)

0.06 (-0.99 to 1.1)

0.48 (-0.24 to 1.2)

2.2 (-12 to 17)

mean_GaitCycleDur * group_char
0.13 0.13
0.11 0.22
0.003 0.014
0.28 0.56
    mean_GaitCycleDur * H2000’s 0.08 (-0.10 to 0.27)

0.30 (-0.05 to 0.64)

0.24 (0.08 to 0.40)

5.9 (-2.3 to 14)

    mean_GaitCycleDur * H3000’s -0.22 (-0.49 to 0.04)

0.38 (-0.10 to 0.87)

0.26 (0.03 to 0.49)

-2.0 (-12 to 8.0)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1333, R2c: 0.9166

alpha_avg_power R2m: 0.0407, R2c: 0.867

beta_avg_power R2m: 0.096, R2c: 0.9565

theta_div_beta R2m: 0.0198, R2c: 0.0198

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.91 (0.52 to 1.3) <0.001 <0.001 1.3 (0.65 to 1.9) <0.001 <0.001 0.77 (0.30 to 1.2) 0.001 0.005 2.1 (-4.4 to 8.6) 0.53 0.97
mean_PeakUpDownVel_mean 1.1 (0.57 to 1.7) <0.001 <0.001 0.04 (-0.99 to 1.1) 0.94 0.94 -0.16 (-0.64 to 0.32) 0.52 0.52 0.43 (-24 to 25) 0.97 0.97
group_char
0.046 0.062
0.31 0.58
0.016 0.032
0.62 0.97
    H1000’s —

—

—

—

    H2000’s -0.61 (-1.2 to -0.05)

0.19 (-0.69 to 1.1)

0.78 (0.10 to 1.5)

-4.1 (-13 to 5.1)

    H3000’s -0.60 (-1.2 to -0.04)

0.68 (-0.21 to 1.6)

0.92 (0.24 to 1.6)

-0.19 (-9.7 to 9.3)

mean_PeakUpDownVel_mean * group_char
0.43 0.43
0.43 0.58
0.071 0.10
0.88 0.97
    mean_PeakUpDownVel_mean * H2000’s -0.49 (-1.3 to 0.28)

-0.92 (-2.3 to 0.50)

-0.77 (-1.4 to -0.11)

6.3 (-28 to 40)

    mean_PeakUpDownVel_mean * H3000’s -0.37 (-1.1 to 0.40)

-0.62 (-2.1 to 0.81)

-0.46 (-1.1 to 0.21)

-1.5 (-35 to 32)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1335, R2c: 0.9127

alpha_avg_power R2m: 0.0344, R2c: 0.8632

beta_avg_power R2m: 0.0927, R2c: 0.9554

theta_div_beta R2m: 0.0081, R2c: 0.0081

## LME EEG ~ 1+kin+group
Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.95 (0.58 to 1.3) <0.001 <0.001 1.2 (0.25 to 2.1) 0.012 0.037 1.4 (0.62 to 2.2) <0.001 0.002 0.14 (-6.2 to 6.5) 0.96 0.96
mean_APexc_COV 0.00 (-0.02 to 0.01) 0.46 0.46 0.01 (-0.01 to 0.02) 0.50 0.75 0.01 (0.00 to 0.02) 0.065 0.10 -0.07 (-0.42 to 0.28) 0.68 0.96
group_char
0.16 0.25
0.83 0.83
0.13 0.13
0.39 0.96
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.75 to 0.25)

-0.12 (-1.4 to 1.2)

0.56 (-0.62 to 1.7)

3.8 (-1.6 to 9.1)

    H3000’s -0.46 (-0.94 to 0.01)

0.27 (-0.96 to 1.5)

1.1 (0.04 to 2.2)

2.0 (-3.6 to 7.7)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.71 to 1.4) <0.001 <0.001 0.97 (0.06 to 1.9) 0.036 0.055 1.3 (0.53 to 2.1) 0.001 0.003 -2.0 (-9.3 to 5.4) 0.60 0.77
mean_APexc_mean -3.5 (-6.7 to -0.26) 0.034 0.051 5.1 (0.68 to 9.4) 0.023 0.055 4.5 (1.6 to 7.4) 0.003 0.004 18 (-103 to 139) 0.77 0.77
group_char
0.065 0.065
0.75 0.75
0.067 0.067
0.40 0.77
    H1000’s —

—

—

—

    H2000’s -0.30 (-0.80 to 0.19)

-0.04 (-1.3 to 1.3)

0.66 (-0.51 to 1.8)

3.4 (-1.5 to 8.3)

    H3000’s -0.55 (-1.0 to -0.09)

0.39 (-0.83 to 1.6)

1.3 (0.20 to 2.4)

1.6 (-3.3 to 6.4)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.45 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.75 (0.39 to 1.1) <0.001 <0.001 1.3 (0.35 to 2.2) 0.007 0.020 1.7 (0.91 to 2.5) <0.001 <0.001 0.94 (-5.6 to 7.5) 0.78 0.78
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.11 0.11 0.00 (-0.02 to 0.01) 0.93 0.93 -0.01 (-0.02 to 0.00) 0.091 0.091 -0.13 (-0.51 to 0.25) 0.50 0.75
group_char
0.10 0.11
0.80 0.93
0.087 0.091
0.45 0.75
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.76 to 0.22)

-0.08 (-1.4 to 1.2)

0.62 (-0.56 to 1.8)

3.1 (-1.7 to 8.0)

    H3000’s -0.50 (-0.96 to -0.04)

0.33 (-0.90 to 1.5)

1.2 (0.14 to 2.3)

1.3 (-3.3 to 5.8)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.76 to 1.5) <0.001 <0.001 1.2 (0.28 to 2.1) 0.010 0.030 1.4 (0.61 to 2.2) <0.001 0.001 -1.2 (-6.6 to 4.2) 0.67 0.94
mean_MLexc_mean -2.8 (-4.3 to -1.4) <0.001 <0.001 1.0 (-1.0 to 3.0) 0.34 0.50 2.1 (0.76 to 3.4) 0.002 0.003 2.1 (-53 to 57) 0.94 0.94
group_char
0.11 0.11
0.79 0.79
0.089 0.089
0.44 0.94
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.72 to 0.27)

-0.10 (-1.4 to 1.2)

0.59 (-0.59 to 1.8)

3.2 (-1.7 to 8.2)

    H3000’s -0.49 (-0.96 to -0.03)

0.32 (-0.90 to 1.5)

1.2 (0.13 to 2.3)

1.3 (-3.2 to 5.9)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.32 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.77 to 1.5) <0.001 <0.001 1.1 (0.20 to 2.0) 0.017 0.051 1.4 (0.58 to 2.2) <0.001 0.002 -1.1 (-8.7 to 6.5) 0.79 0.99
mean_StepDur -0.27 (-0.44 to -0.10) 0.002 0.003 0.16 (-0.08 to 0.40) 0.19 0.29 0.21 (0.05 to 0.37) 0.009 0.014 0.05 (-7.4 to 7.5) 0.99 0.99
group_char
0.055 0.055
0.78 0.78
0.072 0.072
0.43 0.99
    H1000’s —

—

—

—

    H2000’s -0.32 (-0.81 to 0.17)

-0.06 (-1.4 to 1.3)

0.65 (-0.52 to 1.8)

3.3 (-1.7 to 8.2)

    H3000’s -0.56 (-1.0 to -0.10)

0.36 (-0.86 to 1.6)

1.3 (0.19 to 2.4)

1.3 (-3.5 to 6.2)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.67 to 1.4) <0.001 <0.001 1.2 (0.29 to 2.1) 0.009 0.028 1.5 (0.68 to 2.3) <0.001 <0.001 -2.1 (-7.3 to 3.1) 0.44 0.61
mean_StepDur_cov -0.02 (-0.04 to 0.00) 0.018 0.027 0.01 (-0.01 to 0.04) 0.34 0.51 0.02 (0.00 to 0.04) 0.030 0.046 0.21 (-0.60 to 1.0) 0.61 0.61
group_char
0.12 0.12
0.80 0.80
0.091 0.091
0.44 0.61
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.76 to 0.23)

-0.09 (-1.4 to 1.2)

0.61 (-0.56 to 1.8)

3.2 (-1.7 to 8.0)

    H3000’s -0.49 (-0.95 to -0.03)

0.32 (-0.91 to 1.5)

1.2 (0.13 to 2.3)

1.2 (-3.3 to 5.8)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.72 to 1.4) <0.001 <0.001 1.2 (0.32 to 2.1) 0.008 0.023 1.4 (0.64 to 2.2) <0.001 0.001 -1.2 (-6.6 to 4.2) 0.66 0.93
mean_UDexc_COV -0.01 (-0.02 to -0.01) <0.001 0.001 0.00 (-0.01 to 0.01) 0.60 0.80 0.01 (0.00 to 0.02) 0.004 0.006 0.02 (-0.34 to 0.37) 0.93 0.93
group_char
0.13 0.13
0.80 0.80
0.094 0.094
0.42 0.93
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.76 to 0.23)

-0.08 (-1.4 to 1.2)

0.61 (-0.56 to 1.8)

3.2 (-1.6 to 8.1)

    H3000’s -0.48 (-0.95 to -0.02)

0.32 (-0.90 to 1.5)

1.2 (0.12 to 2.3)

1.3 (-3.3 to 5.9)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.68 (0.33 to 1.0) <0.001 <0.001 1.3 (0.37 to 2.2) 0.006 0.017 1.7 (0.95 to 2.5) <0.001 <0.001 -2.0 (-7.9 to 4.0) 0.52 0.71
mean_UDexc_mean 8.8 (3.8 to 14) <0.001 <0.001 -0.67 (-7.8 to 6.4) 0.85 0.85 -7.4 (-12 to -2.7) 0.002 0.003 40 (-169 to 250) 0.71 0.71
group_char
0.10 0.10
0.80 0.85
0.087 0.087
0.44 0.71
    H1000’s —

—

—

—

    H2000’s -0.29 (-0.79 to 0.20)

-0.08 (-1.4 to 1.2)

0.64 (-0.54 to 1.8)

3.2 (-1.7 to 8.0)

    H3000’s -0.51 (-0.97 to -0.04)

0.33 (-0.90 to 1.5)

1.2 (0.14 to 2.3)

1.3 (-3.3 to 5.8)

subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.73 to 1.4) <0.001 <0.001 1.1 (0.22 to 2.0) 0.014 0.043 1.4 (0.62 to 2.2) <0.001 0.001 -0.78 (-7.3 to 5.7) 0.81 0.94
mean_StanceDur -0.16 (-0.26 to -0.06) 0.002 0.004 0.10 (-0.04 to 0.24) 0.16 0.24 0.13 (0.03 to 0.22) 0.007 0.011 -0.18 (-4.7 to 4.3) 0.94 0.94
group_char
0.062 0.062
0.78 0.78
0.074 0.074
0.44 0.94
    H1000’s —

—

—

—

    H2000’s -0.31 (-0.80 to 0.18)

-0.06 (-1.4 to 1.2)

0.65 (-0.52 to 1.8)

3.2 (-1.7 to 8.2)

    H3000’s -0.55 (-1.0 to -0.09)

0.36 (-0.87 to 1.6)

1.3 (0.18 to 2.4)

1.3 (-3.5 to 6.0)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.1 (0.77 to 1.5) <0.001 <0.001 1.1 (0.20 to 2.0) 0.017 0.051 1.4 (0.58 to 2.2) <0.001 0.002 -1.1 (-8.6 to 6.5) 0.78 0.99
mean_GaitCycleDur -0.13 (-0.22 to -0.05) 0.002 0.003 0.08 (-0.04 to 0.20) 0.19 0.29 0.10 (0.03 to 0.18) 0.009 0.014 0.03 (-3.7 to 3.7) 0.99 0.99
group_char
0.055 0.055
0.78 0.78
0.072 0.072
0.43 0.99
    H1000’s —

—

—

—

    H2000’s -0.32 (-0.81 to 0.17)

-0.06 (-1.4 to 1.3)

0.65 (-0.52 to 1.8)

3.3 (-1.7 to 8.2)

    H3000’s -0.56 (-1.0 to -0.10)

0.36 (-0.86 to 1.6)

1.3 (0.19 to 2.4)

1.3 (-3.5 to 6.2)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.73 (0.39 to 1.1) <0.001 <0.001 1.3 (0.39 to 2.2) 0.005 0.014 1.7 (0.91 to 2.5) <0.001 <0.001 -1.8 (-6.8 to 3.2) 0.49 0.70
mean_PeakUpDownVel_mean 0.67 (0.29 to 1.0) <0.001 <0.001 -0.12 (-0.64 to 0.40) 0.65 0.80 -0.54 (-0.88 to -0.19) 0.002 0.003 3.2 (-13 to 19) 0.70 0.70
group_char
0.087 0.087
0.80 0.80
0.082 0.082
0.44 0.70
    H1000’s —

—

—

—

    H2000’s -0.30 (-0.79 to 0.20)

-0.08 (-1.4 to 1.2)

0.64 (-0.53 to 1.8)

3.2 (-1.7 to 8.0)

    H3000’s -0.52 (-0.98 to -0.06)

0.33 (-0.89 to 1.6)

1.3 (0.15 to 2.3)

1.2 (-3.3 to 5.8)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

15 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0699, R2c: 0.8538

alpha_avg_power R2m: 0.0072, R2c: 0.9521

beta_avg_power R2m: 0.0748, R2c: 0.9758

theta_div_beta R2m: 0.0073, R2c: 0.0073

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.13 to 0.68) 0.004 0.012 2.2 (1.1 to 3.2) <0.001 <0.001 2.3 (1.5 to 3.0) <0.001 <0.001 0.59 (-0.59 to 1.8) 0.33 0.91
mean_APexc_COV 0.00 (0.00 to 0.01) 0.37 0.37 0.02 (0.00 to 0.04) 0.043 0.065 0.01 (0.00 to 0.02) 0.088 0.10 -0.01 (-0.07 to 0.05) 0.69 0.91
group_char
0.048 0.071
0.79 0.79
0.10 0.10
0.91 0.91
    H1000’s —

—

—

—

    H2000’s -0.46 (-0.87 to -0.06)

-0.58 (-2.2 to 1.1)

0.64 (-0.46 to 1.7)

-0.25 (-1.4 to 0.88)

    H3000’s -0.36 (-0.72 to 0.01)

-0.22 (-1.7 to 1.3)

1.1 (0.09 to 2.0)

-0.14 (-1.2 to 0.94)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.7 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.70 (NA to NA)

0.40 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.64 (0.36 to 0.91) <0.001 <0.001 2.0 (0.92 to 3.1) <0.001 <0.001 2.0 (1.3 to 2.7) <0.001 <0.001 0.96 (-0.34 to 2.3) 0.15 0.44
mean_APexc_mean -3.2 (-5.4 to -1.0) 0.004 0.006 9.5 (3.1 to 16) 0.004 0.006 7.6 (4.0 to 11) <0.001 <0.001 -10 (-31 to 10) 0.32 0.48
group_char
0.039 0.039
0.85 0.85
0.037 0.037
0.67 0.67
    H1000’s —

—

—

—

    H2000’s -0.47 (-0.87 to -0.06)

-0.36 (-2.0 to 1.3)

0.77 (-0.33 to 1.9)

-0.41 (-1.5 to 0.67)

    H3000’s -0.37 (-0.73 to -0.01)

0.11 (-1.4 to 1.6)

1.3 (0.29 to 2.2)

-0.40 (-1.4 to 0.58)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.19 (-0.08 to 0.46) 0.16 0.16 2.5 (1.5 to 3.6) <0.001 <0.001 2.7 (2.0 to 3.4) <0.001 <0.001 0.33 (-0.85 to 1.5) 0.58 0.91
mean_MLexc_COV 0.02 (0.01 to 0.03) <0.001 <0.001 0.00 (-0.03 to 0.02) 0.92 0.92 -0.02 (-0.03 to -0.01) 0.006 0.008 0.00 (-0.07 to 0.08) 0.91 0.91
group_char
0.054 0.081
0.85 0.92
0.057 0.057
0.79 0.91
    H1000’s —

—

—

—

    H2000’s -0.45 (-0.85 to -0.05)

-0.44 (-2.1 to 1.2)

0.72 (-0.38 to 1.8)

-0.32 (-1.4 to 0.73)

    H3000’s -0.34 (-0.69 to 0.02)

-0.01 (-1.5 to 1.4)

1.2 (0.21 to 2.1)

-0.26 (-1.2 to 0.68)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.7 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.71 (NA to NA)

0.40 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.65 (0.38 to 0.92) <0.001 <0.001 2.1 (1.0 to 3.1) <0.001 <0.001 2.0 (1.3 to 2.7) <0.001 <0.001 0.71 (-0.32 to 1.7) 0.18 0.53
mean_MLexc_mean -2.3 (-3.3 to -1.3) <0.001 <0.001 5.5 (2.5 to 8.5) <0.001 <0.001 4.9 (3.2 to 6.5) <0.001 <0.001 -3.9 (-13 to 5.7) 0.43 0.64
group_char
0.079 0.079
0.83 0.83
0.064 0.064
0.82 0.82
    H1000’s —

—

—

—

    H2000’s -0.42 (-0.83 to -0.02)

-0.48 (-2.1 to 1.2)

0.67 (-0.43 to 1.8)

-0.29 (-1.4 to 0.77)

    H3000’s -0.32 (-0.68 to 0.04)

-0.02 (-1.5 to 1.4)

1.2 (0.19 to 2.1)

-0.25 (-1.2 to 0.68)

subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.67 (0.40 to 0.94) <0.001 <0.001 2.0 (0.94 to 3.1) <0.001 <0.001 2.0 (1.3 to 2.7) <0.001 <0.001 0.99 (-0.26 to 2.2) 0.12 0.36
mean_StepDur -0.23 (-0.35 to -0.12) <0.001 <0.001 0.58 (0.23 to 0.92) <0.001 0.001 0.51 (0.32 to 0.70) <0.001 <0.001 -0.67 (-1.9 to 0.52) 0.27 0.41
group_char
0.037 0.037
0.85 0.85
0.036 0.036
0.66 0.66
    H1000’s —

—

—

—

    H2000’s -0.47 (-0.87 to -0.07)

-0.37 (-2.0 to 1.3)

0.77 (-0.33 to 1.9)

-0.40 (-1.5 to 0.66)

    H3000’s -0.37 (-0.73 to -0.02)

0.11 (-1.4 to 1.6)

1.3 (0.30 to 2.2)

-0.40 (-1.4 to 0.57)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.56 (0.30 to 0.83) <0.001 <0.001 2.2 (1.2 to 3.3) <0.001 <0.001 2.2 (1.5 to 2.9) <0.001 <0.001 0.89 (-0.04 to 1.8) 0.060 0.18
mean_StepDur_cov -0.02 (-0.03 to -0.01) 0.003 0.005 0.06 (0.02 to 0.10) 0.006 0.010 0.04 (0.02 to 0.07) <0.001 <0.001 -0.10 (-0.23 to 0.03) 0.14 0.21
group_char
0.075 0.075
0.84 0.84
0.069 0.069
0.84 0.84
    H1000’s —

—

—

—

    H2000’s -0.43 (-0.84 to -0.03)

-0.46 (-2.1 to 1.2)

0.69 (-0.42 to 1.8)

-0.28 (-1.3 to 0.77)

    H3000’s -0.32 (-0.68 to 0.04)

-0.03 (-1.5 to 1.4)

1.1 (0.17 to 2.1)

-0.22 (-1.2 to 0.70)

subj_char.sd__(Intercept) 0.65 (NA to NA)

2.7 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.58 (0.32 to 0.84) <0.001 <0.001 2.2 (1.2 to 3.3) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 0.76 (-0.21 to 1.7) 0.13 0.38
mean_UDexc_COV -0.01 (-0.02 to 0.00) 0.001 0.002 0.02 (0.01 to 0.04) 0.008 0.013 0.02 (0.01 to 0.03) <0.001 <0.001 -0.03 (-0.09 to 0.03) 0.31 0.47
group_char
0.074 0.074
0.85 0.85
0.075 0.075
0.83 0.83
    H1000’s —

—

—

—

    H2000’s -0.44 (-0.84 to -0.03)

-0.45 (-2.1 to 1.2)

0.69 (-0.42 to 1.8)

-0.30 (-1.4 to 0.75)

    H3000’s -0.31 (-0.67 to 0.05)

-0.05 (-1.5 to 1.4)

1.1 (0.15 to 2.1)

-0.21 (-1.1 to 0.72)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.7 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.29 (0.02 to 0.55) 0.033 0.049 2.8 (1.8 to 3.9) <0.001 <0.001 2.9 (2.2 to 3.5) <0.001 <0.001 0.03 (-1.0 to 1.1) 0.95 0.95
mean_UDexc_mean 7.2 (3.8 to 11) <0.001 <0.001 -13 (-24 to -3.0) 0.011 0.017 -18 (-23 to -12) <0.001 <0.001 15 (-19 to 49) 0.39 0.95
group_char
0.066 0.066
0.85 0.85
0.060 0.060
0.79 0.95
    H1000’s —

—

—

—

    H2000’s -0.44 (-0.85 to -0.03)

-0.44 (-2.1 to 1.2)

0.71 (-0.40 to 1.8)

-0.32 (-1.4 to 0.74)

    H3000’s -0.33 (-0.69 to 0.03)

-0.01 (-1.5 to 1.5)

1.2 (0.20 to 2.1)

-0.27 (-1.2 to 0.67)

subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.63 (0.36 to 0.89) <0.001 <0.001 2.1 (1.0 to 3.1) <0.001 <0.001 2.1 (1.4 to 2.7) <0.001 <0.001 0.91 (-0.18 to 2.0) 0.10 0.30
mean_StanceDur -0.13 (-0.20 to -0.07) <0.001 <0.001 0.35 (0.15 to 0.56) <0.001 <0.001 0.31 (0.19 to 0.42) <0.001 <0.001 -0.42 (-1.1 to 0.28) 0.24 0.36
group_char
0.040 0.040
0.85 0.85
0.039 0.039
0.67 0.67
    H1000’s —

—

—

—

    H2000’s -0.47 (-0.87 to -0.06)

-0.37 (-2.0 to 1.3)

0.76 (-0.34 to 1.9)

-0.40 (-1.5 to 0.66)

    H3000’s -0.37 (-0.72 to -0.01)

0.09 (-1.4 to 1.6)

1.3 (0.28 to 2.2)

-0.39 (-1.3 to 0.57)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.67 (0.40 to 0.94) <0.001 <0.001 2.0 (0.94 to 3.1) <0.001 <0.001 2.0 (1.3 to 2.7) <0.001 <0.001 0.99 (-0.27 to 2.2) 0.12 0.37
mean_GaitCycleDur -0.12 (-0.17 to -0.06) <0.001 <0.001 0.29 (0.12 to 0.46) <0.001 0.001 0.25 (0.16 to 0.35) <0.001 <0.001 -0.33 (-0.92 to 0.26) 0.27 0.41
group_char
0.037 0.037
0.85 0.85
0.036 0.036
0.66 0.66
    H1000’s —

—

—

—

    H2000’s -0.47 (-0.87 to -0.07)

-0.37 (-2.0 to 1.3)

0.77 (-0.33 to 1.9)

-0.40 (-1.5 to 0.66)

    H3000’s -0.37 (-0.73 to -0.02)

0.11 (-1.4 to 1.6)

1.3 (0.30 to 2.2)

-0.40 (-1.4 to 0.57)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.32 (0.06 to 0.58) 0.016 0.023 2.8 (1.8 to 3.8) <0.001 <0.001 2.7 (2.1 to 3.4) <0.001 <0.001 0.03 (-0.87 to 0.93) 0.94 0.94
mean_PeakUpDownVel_mean 0.60 (0.35 to 0.85) <0.001 <0.001 -1.1 (-1.9 to -0.36) 0.004 0.006 -1.3 (-1.7 to -0.90) <0.001 <0.001 1.5 (-1.1 to 4.1) 0.26 0.77
group_char
0.055 0.055
0.86 0.86
0.052 0.052
0.76 0.94
    H1000’s —

—

—

—

    H2000’s -0.45 (-0.86 to -0.05)

-0.42 (-2.1 to 1.2)

0.73 (-0.37 to 1.8)

-0.35 (-1.4 to 0.71)

    H3000’s -0.34 (-0.70 to 0.02)

0.02 (-1.4 to 1.5)

1.2 (0.23 to 2.2)

-0.30 (-1.2 to 0.64)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

1.2 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

2.5 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0746, R2c: 0.8921

alpha_avg_power R2m: 0.0066, R2c: 0.9368

beta_avg_power R2m: 0.0786, R2c: 0.9595

theta_div_beta R2m: 0.0061, R2c: 0.1896

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.15 to 0.62) 0.001 0.004 3.2 (2.2 to 4.2) <0.001 <0.001 2.3 (1.7 to 2.9) <0.001 <0.001 0.41 (-0.09 to 0.92) 0.11 0.33
mean_APexc_COV 0.00 (0.00 to 0.01) 0.45 0.45 0.01 (0.00 to 0.03) 0.10 0.15 0.00 (-0.01 to 0.01) 0.63 0.63 0.00 (-0.03 to 0.03)
0.99
0.99
group_char
0.056 0.084
0.43 0.43
0.12 0.19
0.50 0.75
    H1000’s —

—

—

—

    H2000’s -0.27 (-0.58 to 0.05)

-0.55 (-2.0 to 0.89)

0.39 (-0.55 to 1.3)

-0.17 (-0.58 to 0.25)

    H3000’s -0.36 (-0.66 to -0.05)

-0.89 (-2.3 to 0.48)

0.93 (0.04 to 1.8)

-0.27 (-0.72 to 0.18)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.15 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.44 (0.21 to 0.68) <0.001 <0.001 2.8 (1.8 to 3.7) <0.001 <0.001 1.9 (1.3 to 2.6) <0.001 <0.001 0.52 (-0.06 to 1.1) 0.080 0.24
mean_APexc_mean -0.25 (-2.5 to 2.0) 0.83 0.83 12 (7.2 to 17) <0.001 <0.001 7.0 (4.0 to 10) <0.001 <0.001 -2.0 (-12 to 7.7) 0.68 0.68
group_char
0.072 0.11
0.71 0.71
0.070 0.070
0.31 0.47
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.57 to 0.06)

-0.34 (-1.8 to 1.1)

0.47 (-0.47 to 1.4)

-0.19 (-0.58 to 0.21)

    H3000’s -0.33 (-0.63 to -0.04)

-0.58 (-2.0 to 0.80)

1.1 (0.16 to 2.0)

-0.30 (-0.69 to 0.09)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.16 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.27 (0.03 to 0.50) 0.026 0.039 3.4 (2.4 to 4.4) <0.001 <0.001 2.4 (1.8 to 3.1) <0.001 <0.001 0.17 (-0.35 to 0.68) 0.52 0.52
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.009 0.027 0.00 (-0.02 to 0.02) 0.87 0.87 -0.01 (-0.02 to 0.01) 0.28 0.28 0.02 (-0.01 to 0.05) 0.29 0.52
group_char
0.086 0.086
0.55 0.82
0.11 0.16
0.38 0.52
    H1000’s —

—

—

—

    H2000’s -0.24 (-0.55 to 0.07)

-0.46 (-1.9 to 0.98)

0.40 (-0.53 to 1.3)

-0.15 (-0.53 to 0.23)

    H3000’s -0.32 (-0.62 to -0.03)

-0.75 (-2.1 to 0.61)

0.95 (0.06 to 1.8)

-0.26 (-0.62 to 0.11)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.15 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.50 (0.28 to 0.72) <0.001 <0.001 3.0 (2.1 to 4.0) <0.001 <0.001 2.1 (1.5 to 2.7) <0.001 <0.001 0.49 (0.06 to 0.93) 0.026 0.079
mean_MLexc_mean -0.89 (-2.0 to 0.20) 0.11 0.11 4.8 (2.3 to 7.2) <0.001 <0.001 3.2 (1.7 to 4.6) <0.001 <0.001 -1.0 (-5.5 to 3.5) 0.66 0.66
group_char
0.082 0.11
0.53 0.53
0.12 0.12
0.35 0.53
    H1000’s —

—

—

—

    H2000’s -0.24 (-0.55 to 0.07)

-0.51 (-2.0 to 0.92)

0.37 (-0.57 to 1.3)

-0.16 (-0.54 to 0.23)

    H3000’s -0.33 (-0.62 to -0.03)

-0.77 (-2.1 to 0.59)

0.94 (0.05 to 1.8)

-0.27 (-0.63 to 0.10)

subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.16 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.48 (0.25 to 0.71) <0.001 <0.001 2.9 (1.9 to 3.8) <0.001 <0.001 2.0 (1.4 to 2.6) <0.001 <0.001 0.62 (0.03 to 1.2) 0.040 0.12
mean_StepDur -0.06 (-0.18 to 0.07) 0.37 0.37 0.62 (0.35 to 0.88) <0.001 <0.001 0.34 (0.18 to 0.50) <0.001 <0.001 -0.22 (-0.81 to 0.36) 0.46 0.46
group_char
0.062 0.093
0.68 0.68
0.075 0.075
0.26 0.38
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.57 to 0.05)

-0.37 (-1.8 to 1.1)

0.45 (-0.48 to 1.4)

-0.20 (-0.59 to 0.19)

    H3000’s -0.34 (-0.64 to -0.05)

-0.61 (-2.0 to 0.76)

1.0 (0.14 to 1.9)

-0.32 (-0.71 to 0.06)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.43 (0.22 to 0.65) <0.001 <0.001 3.1 (2.2 to 4.1) <0.001 <0.001 2.2 (1.5 to 2.8) <0.001 <0.001 0.52 (0.11 to 0.94) 0.013 0.039
mean_StepDur_cov 0.00 (-0.01 to 0.01) 0.94 0.94 0.06 (0.03 to 0.09) <0.001 <0.001 0.03 (0.01 to 0.05) <0.001 0.001 -0.02 (-0.09 to 0.04) 0.52 0.52
group_char
0.074 0.11
0.55 0.55
0.11 0.11
0.34 0.51
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.56 to 0.06)

-0.47 (-1.9 to 0.98)

0.40 (-0.54 to 1.3)

-0.16 (-0.54 to 0.22)

    H3000’s -0.33 (-0.63 to -0.03)

-0.75 (-2.1 to 0.62)

0.95 (0.06 to 1.8)

-0.27 (-0.63 to 0.09)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.33 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.47 (0.26 to 0.69) <0.001 <0.001 3.2 (2.2 to 4.1) <0.001 <0.001 2.1 (1.5 to 2.7) <0.001 <0.001 0.58 (0.16 to 1.0) 0.007 0.020
mean_UDexc_COV 0.00 (-0.01 to 0.00) 0.29 0.29 0.02 (0.01 to 0.03) 0.003 0.004 0.02 (0.01 to 0.02) <0.001 <0.001 -0.01 (-0.04 to 0.01) 0.33 0.39
group_char
0.078 0.12
0.53 0.53
0.12 0.12
0.39 0.39
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.56 to 0.06)

-0.47 (-1.9 to 0.97)

0.39 (-0.54 to 1.3)

-0.16 (-0.54 to 0.22)

    H3000’s -0.33 (-0.62 to -0.03)

-0.78 (-2.1 to 0.59)

0.93 (0.04 to 1.8)

-0.25 (-0.61 to 0.11)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.55 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.33 (0.11 to 0.55) 0.003 0.009 3.8 (2.8 to 4.7) <0.001 <0.001 2.6 (2.0 to 3.2) <0.001 <0.001 0.10 (-0.36 to 0.56) 0.66 0.66
mean_UDexc_mean 4.0 (0.46 to 7.6) 0.027 0.040 -14 (-22 to -6.2) <0.001 <0.001 -12 (-17 to -7.6) <0.001 <0.001 13 (-3.3 to 29) 0.12 0.35
group_char
0.072 0.072
0.55 0.55
0.10 0.10
0.32 0.48
    H1000’s —

—

—

—

    H2000’s -0.25 (-0.57 to 0.06)

-0.45 (-1.9 to 0.99)

0.42 (-0.51 to 1.3)

-0.18 (-0.55 to 0.20)

    H3000’s -0.33 (-0.62 to -0.03)

-0.75 (-2.1 to 0.60)

0.95 (0.07 to 1.8)

-0.27 (-0.62 to 0.09)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.11 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.47 (0.25 to 0.69) <0.001 <0.001 3.0 (2.0 to 3.9) <0.001 <0.001 2.1 (1.5 to 2.7) <0.001 <0.001 0.58 (0.08 to 1.1) 0.022 0.067
mean_StanceDur -0.03 (-0.11 to 0.04) 0.35 0.35 0.37 (0.21 to 0.52) <0.001 <0.001 0.20 (0.10 to 0.29) <0.001 <0.001 -0.14 (-0.48 to 0.21) 0.44 0.44
group_char
0.063 0.094
0.66 0.66
0.080 0.080
0.26 0.39
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.57 to 0.05)

-0.38 (-1.8 to 1.1)

0.45 (-0.49 to 1.4)

-0.20 (-0.58 to 0.19)

    H3000’s -0.34 (-0.64 to -0.04)

-0.63 (-2.0 to 0.74)

1.0 (0.13 to 1.9)

-0.31 (-0.69 to 0.06)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.13 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.48 (0.25 to 0.71) <0.001 <0.001 2.9 (1.9 to 3.8) <0.001 <0.001 2.0 (1.4 to 2.6) <0.001 <0.001 0.62 (0.03 to 1.2) 0.040 0.12
mean_GaitCycleDur -0.03 (-0.09 to 0.03) 0.37 0.37 0.31 (0.18 to 0.44) <0.001 <0.001 0.17 (0.09 to 0.25) <0.001 <0.001 -0.11 (-0.40 to 0.18) 0.46 0.46
group_char
0.062 0.093
0.68 0.68
0.075 0.075
0.26 0.38
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.57 to 0.05)

-0.37 (-1.8 to 1.1)

0.45 (-0.48 to 1.4)

-0.20 (-0.59 to 0.19)

    H3000’s -0.34 (-0.64 to -0.05)

-0.61 (-2.0 to 0.76)

1.0 (0.14 to 1.9)

-0.32 (-0.71 to 0.06)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.14 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1.3 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.16 to 0.58) <0.001 0.002 3.7 (2.8 to 4.7) <0.001 <0.001 2.6 (2.0 to 3.2) <0.001 <0.001 0.17 (-0.22 to 0.56) 0.39 0.39
mean_PeakUpDownVel_mean 0.26 (0.00 to 0.52) 0.052 0.066 -1.2 (-1.8 to -0.62) <0.001 <0.001 -0.98 (-1.3 to -0.64) <0.001 <0.001 1.0 (-0.24 to 2.3) 0.11 0.34
group_char
0.066 0.066
0.57 0.57
0.095 0.095
0.27 0.39
    H1000’s —

—

—

—

    H2000’s -0.26 (-0.57 to 0.05)

-0.43 (-1.9 to 1.0)

0.43 (-0.50 to 1.4)

-0.19 (-0.56 to 0.19)

    H3000’s -0.33 (-0.63 to -0.04)

-0.73 (-2.1 to 0.63)

0.98 (0.09 to 1.9)

-0.29 (-0.65 to 0.07)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

0.10 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1.2 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0632, R2c: 0.8249

alpha_avg_power R2m: 0.0186, R2c: 0.9522

beta_avg_power R2m: 0.0625, R2c: 0.962

theta_div_beta R2m: 0.0118, R2c: 0.0245

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.51 (0.19 to 0.82) 0.002 0.005 3.8 (2.9 to 4.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.03 (-0.77 to 0.83) 0.94 0.94
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.95 0.95 0.01 (-0.01 to 0.02) 0.47 0.70 0.01 (0.00 to 0.02) 0.069 0.10 0.01 (-0.03 to 0.06) 0.52 0.77
group_char
0.57 0.85
0.77 0.77
0.82 0.82
0.43 0.77
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.68 to 0.27)

-0.40 (-1.8 to 1.0)

0.24 (-0.52 to 1.0)

-0.24 (-0.88 to 0.40)

    H3000’s 0.06 (-0.41 to 0.52)

-0.48 (-1.9 to 0.93)

0.15 (-0.59 to 0.89)

0.17 (-0.52 to 0.86)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.61 (0.29 to 0.92) <0.001 <0.001 3.7 (2.7 to 4.6) <0.001 <0.001 2.2 (1.7 to 2.7) <0.001 <0.001 1.0 (0.10 to 1.9) 0.030 0.089
mean_APexc_mean -1.7 (-3.7 to 0.22) 0.083 0.12 4.6 (-0.60 to 9.8) 0.083 0.12 3.7 (1.0 to 6.3) 0.006 0.010 -14 (-29 to 1.6) 0.080 0.12
group_char
0.56 0.56
0.86 0.86
0.65 0.65
0.44 0.44
    H1000’s —

—

—

—

    H2000’s -0.22 (-0.69 to 0.25)

-0.31 (-1.8 to 1.1)

0.32 (-0.44 to 1.1)

-0.29 (-0.89 to 0.31)

    H3000’s 0.03 (-0.43 to 0.49)

-0.35 (-1.8 to 1.1)

0.28 (-0.46 to 1.0)

0.10 (-0.51 to 0.71)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.10 to 0.72) 0.011 0.032 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.0 to 3.0) <0.001 <0.001 -0.02 (-0.79 to 0.76) 0.97 0.97
mean_MLexc_COV 0.01 (0.00 to 0.01) 0.054 0.081 -0.01 (-0.03 to 0.01) 0.44 0.66 -0.01 (-0.02 to 0.00) 0.092 0.14 0.02 (-0.03 to 0.07) 0.42 0.63
group_char
0.57 0.57
0.81 0.81
0.73 0.73
0.34 0.63
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.67 to 0.27)

-0.36 (-1.8 to 1.1)

0.28 (-0.47 to 1.0)

-0.15 (-0.73 to 0.44)

    H3000’s 0.06 (-0.40 to 0.51)

-0.42 (-1.8 to 0.98)

0.22 (-0.52 to 0.96)

0.31 (-0.26 to 0.88)

subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.64 (0.34 to 0.95) <0.001 <0.001 3.8 (2.8 to 4.7) <0.001 <0.001 2.2 (1.7 to 2.7) <0.001 <0.001 0.63 (-0.07 to 1.3) 0.077 0.23
mean_MLexc_mean -1.6 (-2.6 to -0.72) <0.001 <0.001 2.0 (-0.47 to 4.5) 0.11 0.17 2.1 (0.82 to 3.3) 0.001 0.002 -4.4 (-12 to 2.8) 0.23 0.34
group_char
0.60 0.60
0.81 0.81
0.74 0.74
0.37 0.37
    H1000’s —

—

—

—

    H2000’s -0.19 (-0.66 to 0.28)

-0.37 (-1.8 to 1.1)

0.27 (-0.49 to 1.0)

-0.12 (-0.71 to 0.46)

    H3000’s 0.06 (-0.40 to 0.52)

-0.42 (-1.8 to 0.98)

0.22 (-0.52 to 0.97)

0.31 (-0.26 to 0.88)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.65 (0.33 to 0.96) <0.001 <0.001 3.7 (2.8 to 4.7) <0.001 <0.001 2.2 (1.7 to 2.7) <0.001 <0.001 0.81 (-0.11 to 1.7) 0.083 0.25
mean_StepDur -0.15 (-0.25 to -0.05) 0.004 0.006 0.22 (-0.06 to 0.50) 0.12 0.18 0.19 (0.05 to 0.33) 0.008 0.013 -0.60 (-1.5 to 0.32) 0.20 0.30
group_char
0.56 0.56
0.85 0.85
0.66 0.66
0.43 0.43
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.70 to 0.25)

-0.33 (-1.8 to 1.1)

0.32 (-0.44 to 1.1)

-0.25 (-0.85 to 0.35)

    H3000’s 0.02 (-0.44 to 0.48)

-0.37 (-1.8 to 1.0)

0.27 (-0.47 to 1.0)

0.16 (-0.44 to 0.77)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.58 (0.28 to 0.89) <0.001 <0.001 3.9 (3.0 to 4.9) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.18 (-0.44 to 0.80) 0.57 0.73
mean_StepDur_cov -0.01 (-0.03 to 0.00) 0.016 0.024 0.00 (-0.03 to 0.03) 0.99 0.99 0.02 (0.00 to 0.03) 0.038 0.058 0.02 (-0.08 to 0.11) 0.73 0.73
group_char
0.58 0.58
0.81 0.99
0.73 0.73
0.33 0.73
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.67 to 0.27)

-0.36 (-1.8 to 1.1)

0.28 (-0.48 to 1.0)

-0.16 (-0.75 to 0.42)

    H3000’s 0.06 (-0.40 to 0.52)

-0.42 (-1.8 to 0.98)

0.22 (-0.52 to 0.96)

0.30 (-0.27 to 0.87)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.29 to 0.89) <0.001 <0.001 3.8 (2.9 to 4.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001 0.49 (-0.17 to 1.1) 0.15 0.42
mean_UDexc_COV -0.01 (-0.01 to 0.00) 0.015 0.022 0.01 (-0.01 to 0.02) 0.27 0.40 0.01 (0.00 to 0.02) 0.003 0.005 -0.02 (-0.06 to 0.03) 0.42 0.42
group_char
0.57 0.57
0.80 0.80
0.74 0.74
0.32 0.42
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.67 to 0.27)

-0.37 (-1.8 to 1.1)

0.28 (-0.48 to 1.0)

-0.14 (-0.72 to 0.45)

    H3000’s 0.06 (-0.39 to 0.52)

-0.43 (-1.8 to 0.97)

0.21 (-0.53 to 0.95)

0.32 (-0.25 to 0.89)

subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.05 to 0.67) 0.021 0.031 4.1 (3.2 to 5.0) <0.001 <0.001 2.6 (2.1 to 3.0) <0.001 <0.001 0.02 (-0.70 to 0.74) 0.95 0.95
mean_UDexc_mean 6.2 (3.2 to 9.3) <0.001 <0.001 -6.0 (-14 to 2.4) 0.16 0.24 -7.0 (-11 to -2.7) 0.001 0.002 10 (-16 to 36) 0.44 0.65
group_char
0.58 0.58
0.82 0.82
0.71 0.71
0.36 0.65
    H1000’s —

—

—

—

    H2000’s -0.20 (-0.68 to 0.27)

-0.36 (-1.8 to 1.1)

0.29 (-0.46 to 1.0)

-0.16 (-0.74 to 0.42)

    H3000’s 0.05 (-0.41 to 0.51)

-0.41 (-1.8 to 0.99)

0.23 (-0.50 to 0.97)

0.29 (-0.28 to 0.86)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.62 (0.32 to 0.93) <0.001 <0.001 3.8 (2.8 to 4.7) <0.001 <0.001 2.2 (1.8 to 2.7) <0.001 <0.001 0.75 (-0.03 to 1.5) 0.058 0.18
mean_StanceDur -0.09 (-0.15 to -0.03) 0.003 0.005 0.13 (-0.03 to 0.30) 0.10 0.16 0.12 (0.03 to 0.20) 0.006 0.009 -0.39 (-0.94 to 0.16) 0.17 0.25
group_char
0.56 0.56
0.84 0.84
0.67 0.67
0.42 0.42
    H1000’s —

—

—

—

    H2000’s -0.22 (-0.69 to 0.25)

-0.33 (-1.8 to 1.1)

0.31 (-0.45 to 1.1)

-0.24 (-0.84 to 0.35)

    H3000’s 0.03 (-0.43 to 0.49)

-0.38 (-1.8 to 1.0)

0.26 (-0.48 to 1.0)

0.18 (-0.42 to 0.77)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.65 (0.33 to 0.96) <0.001 <0.001 3.7 (2.8 to 4.7) <0.001 <0.001 2.2 (1.7 to 2.7) <0.001 <0.001 0.81 (-0.11 to 1.7) 0.084 0.25
mean_GaitCycleDur -0.08 (-0.13 to -0.02) 0.004 0.006 0.11 (-0.03 to 0.25) 0.12 0.18 0.09 (0.02 to 0.16) 0.008 0.012 -0.30 (-0.76 to 0.16) 0.20 0.31
group_char
0.56 0.56
0.85 0.85
0.66 0.66
0.43 0.43
    H1000’s —

—

—

—

    H2000’s -0.23 (-0.70 to 0.25)

-0.33 (-1.8 to 1.1)

0.32 (-0.44 to 1.1)

-0.25 (-0.85 to 0.35)

    H3000’s 0.02 (-0.44 to 0.48)

-0.37 (-1.8 to 1.0)

0.27 (-0.47 to 1.0)

0.16 (-0.44 to 0.77)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.40 (0.10 to 0.71) 0.009 0.013 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.0 to 3.0) <0.001 <0.001 0.01 (-0.60 to 0.61) 0.98 0.98
mean_PeakUpDownVel_mean 0.45 (0.22 to 0.68) <0.001 <0.001 -0.52 (-1.1 to 0.09) 0.10 0.14 -0.53 (-0.84 to -0.22) <0.001 0.001 1.1 (-0.93 to 3.1) 0.29 0.57
group_char
0.57 0.57
0.83 0.83
0.69 0.69
0.38 0.57
    H1000’s —

—

—

—

    H2000’s -0.21 (-0.68 to 0.26)

-0.35 (-1.8 to 1.1)

0.30 (-0.46 to 1.1)

-0.18 (-0.76 to 0.41)

    H3000’s 0.04 (-0.42 to 0.50)

-0.40 (-1.8 to 1.0)

0.24 (-0.49 to 0.98)

0.26 (-0.31 to 0.83)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

2.1 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0164, R2c: 0.9346

alpha_avg_power R2m: 0.0058, R2c: 0.9495

beta_avg_power R2m: 0.0104, R2c: 0.9533

theta_div_beta R2m: 0.0098, R2c: 0.0098

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.3 (0.92 to 1.7) <0.001 <0.001 1.1 (0.52 to 1.7) <0.001 <0.001 0.72 (0.25 to 1.2) 0.003 0.009 3.3 (-2.1 to 8.7) 0.23 0.64
mean_APexc_COV -0.01 (-0.02 to 0.00) 0.057 0.057 0.01 (-0.01 to 0.03) 0.30 0.45 0.00 (-0.01 to 0.01) 0.79 0.79 -0.07 (-0.37 to 0.22) 0.64 0.64
group_char
0.033 0.049
0.45 0.45
0.060 0.090
0.48 0.64
    H1000’s —

—

—

—

    H2000’s -0.65 (-1.2 to -0.12)

-0.10 (-0.90 to 0.71)

0.58 (-0.08 to 1.2)

-2.0 (-6.5 to 2.4)

    H3000’s -0.55 (-1.1 to -0.02)

0.41 (-0.41 to 1.2)

0.77 (0.10 to 1.4)

0.22 (-5.0 to 5.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.30 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.9) <0.001 <0.001 0.70 (0.08 to 1.3) 0.027 0.040 0.38 (-0.09 to 0.85) 0.12 0.12 0.35 (-6.4 to 7.1) 0.92 0.92
mean_APexc_mean -6.2 (-9.3 to -3.0) <0.001 <0.001 10 (5.0 to 16) <0.001 <0.001 6.6 (4.0 to 9.2) <0.001 <0.001 34 (-80 to 148) 0.56 0.84
group_char
0.005 0.005
0.21 0.21
0.023 0.034
0.51 0.84
    H1000’s —

—

—

—

    H2000’s -0.77 (-1.3 to -0.24)

0.07 (-0.73 to 0.86)

0.65 (0.00 to 1.3)

-2.1 (-6.3 to 2.0)

    H3000’s -0.75 (-1.3 to -0.22)

0.66 (-0.14 to 1.5)

0.88 (0.22 to 1.5)

-0.08 (-4.4 to 4.3)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.0 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.50 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.62 to 1.4) <0.001 <0.001 1.1 (0.51 to 1.7) <0.001 <0.001 0.82 (0.35 to 1.3) <0.001 0.002 3.4 (-2.3 to 9.2) 0.24 0.63
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.028 0.028 0.01 (-0.01 to 0.03) 0.25 0.36 -0.01 (-0.01 to 0.00) 0.19 0.19 -0.09 (-0.45 to 0.27) 0.63 0.63
group_char
0.011 0.017
0.36 0.36
0.051 0.077
0.43 0.63
    H1000’s —

—

—

—

    H2000’s -0.70 (-1.2 to -0.18)

-0.04 (-0.84 to 0.77)

0.58 (-0.08 to 1.2)

-2.5 (-6.5 to 1.5)

    H3000’s -0.66 (-1.2 to -0.14)

0.50 (-0.30 to 1.3)

0.78 (0.13 to 1.4)

-0.52 (-4.5 to 3.5)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.4 (1.0 to 1.8) <0.001 <0.001 1.0 (0.43 to 1.6) <0.001 0.002 0.51 (0.05 to 0.98) 0.029 0.044 0.47 (-4.3 to 5.3) 0.85 0.85
mean_MLexc_mean -3.0 (-4.3 to -1.7) <0.001 <0.001 3.1 (0.74 to 5.5) 0.010 0.015 2.7 (1.6 to 3.8) <0.001 <0.001 21 (-27 to 70) 0.39 0.59
group_char
0.015 0.015
0.31 0.31
0.055 0.055
0.39 0.59
    H1000’s —

—

—

—

    H2000’s -0.68 (-1.2 to -0.15)

-0.07 (-0.87 to 0.72)

0.56 (-0.10 to 1.2)

-2.7 (-6.7 to 1.3)

    H3000’s -0.65 (-1.2 to -0.13)

0.51 (-0.29 to 1.3)

0.78 (0.12 to 1.4)

-0.60 (-4.6 to 3.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.2 to 1.9) <0.001 <0.001 0.90 (0.29 to 1.5) 0.004 0.009 0.46 (-0.01 to 0.93) 0.054 0.054 -0.25 (-7.0 to 6.5) 0.94 0.94
mean_StepDur -0.42 (-0.57 to -0.26) <0.001 <0.001 0.40 (0.11 to 0.69) 0.006 0.009 0.30 (0.17 to 0.44) <0.001 <0.001 2.7 (-4.1 to 9.5) 0.44 0.73
group_char
0.004 0.004
0.25 0.25
0.029 0.043
0.49 0.73
    H1000’s —

—

—

—

    H2000’s -0.77 (-1.3 to -0.24)

0.02 (-0.79 to 0.82)

0.63 (-0.03 to 1.3)

-2.1 (-6.2 to 2.0)

    H3000’s -0.76 (-1.3 to -0.24)

0.61 (-0.19 to 1.4)

0.86 (0.20 to 1.5)

0.11 (-4.3 to 4.5)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.4 (1.0 to 1.8) <0.001 <0.001 1.1 (0.52 to 1.7) <0.001 <0.001 0.61 (0.15 to 1.1) 0.010 0.015 0.33 (-4.5 to 5.2) 0.89 0.89
mean_StepDur_cov -0.05 (-0.07 to -0.03) <0.001 <0.001 0.03 (0.00 to 0.07) 0.088 0.13 0.02 (0.01 to 0.04) 0.007 0.015 0.37 (-0.43 to 1.2) 0.36 0.69
group_char
0.016 0.016
0.37 0.37
0.058 0.058
0.46 0.69
    H1000’s —

—

—

—

    H2000’s -0.70 (-1.2 to -0.18)

-0.04 (-0.85 to 0.76)

0.58 (-0.08 to 1.2)

-2.5 (-6.5 to 1.5)

    H3000’s -0.62 (-1.2 to -0.10)

0.49 (-0.32 to 1.3)

0.76 (0.10 to 1.4)

-0.84 (-4.9 to 3.2)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.4 (1.0 to 1.8) <0.001 <0.001 1.2 (0.58 to 1.7) <0.001 <0.001 0.61 (0.14 to 1.1) 0.010 0.016 2.3 (-2.5 to 7.1) 0.36 0.68
mean_UDexc_COV -0.02 (-0.03 to -0.01) <0.001 <0.001 0.01 (0.00 to 0.02) 0.21 0.31 0.01 (0.00 to 0.02) 0.002 0.006 -0.01 (-0.32 to 0.31) 0.97 0.97
group_char
0.017 0.017
0.36 0.36
0.061 0.061
0.45 0.68
    H1000’s —

—

—

—

    H2000’s -0.69 (-1.2 to -0.16)

-0.05 (-0.86 to 0.76)

0.57 (-0.09 to 1.2)

-2.5 (-6.5 to 1.5)

    H3000’s -0.62 (-1.1 to -0.10)

0.49 (-0.31 to 1.3)

0.76 (0.10 to 1.4)

-0.57 (-4.6 to 3.5)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.89 (0.52 to 1.3) <0.001 <0.001 1.3 (0.75 to 1.9) <0.001 <0.001 0.89 (0.43 to 1.4) <0.001 <0.001 1.3 (-3.6 to 6.2) 0.59 0.68
mean_UDexc_mean 12 (7.6 to 16) <0.001 <0.001 -2.9 (-11 to 4.9) 0.47 0.47 -6.7 (-10 to -3.0) <0.001 <0.001 36 (-135 to 207) 0.68 0.68
group_char
0.010 0.010
0.34 0.47
0.049 0.049
0.45 0.68
    H1000’s —

—

—

—

    H2000’s -0.71 (-1.2 to -0.19)

-0.04 (-0.85 to 0.76)

0.59 (-0.08 to 1.2)

-2.5 (-6.5 to 1.5)

    H3000’s -0.68 (-1.2 to -0.16)

0.51 (-0.29 to 1.3)

0.79 (0.13 to 1.5)

-0.66 (-4.7 to 3.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.1 to 1.8) <0.001 <0.001 0.97 (0.38 to 1.6) 0.001 0.004 0.51 (0.05 to 0.98) 0.030 0.032 0.33 (-5.4 to 6.1) 0.91 0.91
mean_StanceDur -0.24 (-0.34 to -0.15) <0.001 <0.001 0.24 (0.07 to 0.41) 0.005 0.008 0.18 (0.10 to 0.26) <0.001 <0.001 1.5 (-2.6 to 5.6) 0.47 0.73
group_char
0.005 0.005
0.26 0.26
0.032 0.032
0.49 0.73
    H1000’s —

—

—

—

    H2000’s -0.76 (-1.3 to -0.23)

0.01 (-0.79 to 0.81)

0.62 (-0.04 to 1.3)

-2.2 (-6.3 to 1.9)

    H3000’s -0.74 (-1.3 to -0.22)

0.59 (-0.21 to 1.4)

0.84 (0.19 to 1.5)

-0.05 (-4.3 to 4.2)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.5 (1.2 to 1.9) <0.001 <0.001 0.90 (0.29 to 1.5) 0.004 0.009 0.46 (-0.01 to 0.93) 0.054 0.054 -0.24 (-7.0 to 6.5) 0.94 0.94
mean_GaitCycleDur -0.21 (-0.29 to -0.13) <0.001 <0.001 0.20 (0.06 to 0.34) 0.006 0.009 0.15 (0.08 to 0.22) <0.001 <0.001 1.3 (-2.1 to 4.7) 0.44 0.73
group_char
0.004 0.004
0.25 0.25
0.029 0.043
0.49 0.73
    H1000’s —

—

—

—

    H2000’s -0.77 (-1.3 to -0.24)

0.02 (-0.79 to 0.82)

0.63 (-0.03 to 1.3)

-2.1 (-6.2 to 2.0)

    H3000’s -0.76 (-1.3 to -0.24)

0.61 (-0.19 to 1.4)

0.86 (0.20 to 1.5)

0.11 (-4.3 to 4.5)

subj_char.sd__(Intercept) 0.84 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA THETA/BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.98 (0.61 to 1.3) <0.001 <0.001 1.4 (0.81 to 2.0) <0.001 <0.001 0.87 (0.41 to 1.3) <0.001 <0.001 1.7 (-2.5 to 5.9) 0.43 0.67
mean_PeakUpDownVel_mean 0.82 (0.51 to 1.1) <0.001 <0.001 -0.49 (-1.1 to 0.09) 0.10 0.14 -0.58 (-0.86 to -0.31) <0.001 <0.001 2.1 (-11 to 16) 0.77 0.77
group_char
0.008 0.008
0.32 0.32
0.044 0.044
0.44 0.67
    H1000’s —

—

—

—

    H2000’s -0.72 (-1.2 to -0.20)

-0.03 (-0.84 to 0.77)

0.60 (-0.06 to 1.3)

-2.5 (-6.6 to 1.5)

    H3000’s -0.69 (-1.2 to -0.17)

0.53 (-0.28 to 1.3)

0.81 (0.15 to 1.5)

-0.68 (-4.7 to 3.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

0.00 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

13 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1325, R2c: 0.9134

alpha_avg_power R2m: 0.0325, R2c: 0.8624

beta_avg_power R2m: 0.0893, R2c: 0.9529

theta_div_beta R2m: 0.0068, R2c: 0.0068